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International Journal of Organizational Leadership 5(2016) 172-190 INTERNATIONAL JOURNAL OF ORGANIZATIONAL LEADERSHIP WWW.AIMIJOURNAL.COM INDUSTRIAL MANAGEMENT INSTITUTE The mediator role of hierarchical distance on social processes-HRM practices: An empirical analysis of Spanish firms Rafael Triguero-Sánchez1, Jesús C. Peña-Vinces2*, Jorge Guillen3 1,2 Department of Business Management and Marketing, College of Economics and Business, University of Seville, Spain 3 ESAN Graduate School of Business, Lima, Peru ABSTRACT Keywords: Employee Relations HRM Practices Hierarchical Distance Nonlinear Models, Mediation The literature pays little attention to non-linear models, especially regarding dimensions such as organizational culture. Therefore, the purpose of this paper is to test the role of hierarchical distance in the relationship between HRM practices and social processes. With a sample of 102 Spanish firms and using partial least squares structural equation modeling assessed this relationship. Results suggested mediation of hierarchical distance between HRM practices and social processes. Such results recommend that HR managers should consider hierarchical distance more carefully especially when creating HRM practices to improve relationships among employees. Thus, the politics of commitment function better when organizations are more horizontal and when tasks are commonly delegated, managers question employees frequently prior to making decisions, discussions are encouraged, and social relationships – both in and out of work – are valued, appear to provide the most benefit regarding competitive advantages generated through HRM practices. Received 26 November 2015 Received in revised form 3 January 2016 Accepted 13 January 2016 Correspondence: [email protected] ©AIMI Journals Introduction Today, with intense global competition and changes in the nature of work, the human factor is becoming more important for organizations where the better performance of their employees can be considered as a source of competitive advantage (Barney, 1991). However, the relationship between the management of workers and business results seems to involve multiple variables. Moreover, the management or policies of
173 International Journal of Organizational Leadership 5(2016) human resources management (HRM) implemented and carried out by companies, to a great extent determine the level of commitment (Abdullah, Shamsuddin, & Wahab, 2015; Masihabadi, Rajaei, Koloukhi, & Parsian, 2015) and motivation of their own employees (Boxall & Purcell, 2003). In other words, there are HRM policies that can promote the development of skills and attitudes of employees (Gardner, Moynihan, Park, & Wright, 2001). Their impacts contain the degree of employees’ participation in decision-making, seeking agreement (consensus), and conflict resolution (Somech, 2010). Social processes have an effect on company performance which justifies the use of the Resource-Based View (RBV) as a key approach to understand this study. According to Hackman (1987), social processes show interpersonal relationships that spread among the members of workgroups and teams, mainly concerning who talks to whom, who argues with whom, and who agrees with whom (Stewart & Barrick, 2000). Processes among employees cover the degree of participation in decision-making and consensuses achieved and conflicts caused (Cronin & Weingart, 2007). Appelbaum, Bailey, Berg, and Kalleberg (2000) indicated the relationship between HRM practices (HRMp) and participation in decision-making. Podsakoff, Whiting, Podsakof, and Blume (2009) showed obvious connection between HRMp and consensus among employees (see also Hadifz, Hoesni, & Fatimah, 2012; Knight et al., 1999). Other studies pay attention to the relationship between HRMp and their influence on employee realizations of fairness (Gupta & Singh, 2010) which effect both attitudes and behaviors (Farndale, Hope-Hailey, & Kelliher, 2011; Masihabadi et al., 2015). As theoretical support for exchange relationships, social exchange theory (SET) determines social mechanisms through which individuals establish relationships reciprocally (Coyle-Shapiro & Conway, 2004) – exchanges among peers or between superiors and subordinates (Zhang & Jia, 2010) mean commitments are generated among them (Abdullah et al., 2015; Cropanzano & Mitchell, 2005; Masihabadi et al., 2015). On the other hand, disparities from those studies recommend contextual and cultural variables condition processes’ effectiveness; to this end , the future studies should take into account the factors that mediate relationships between HRMp and social processes (Chew & Sharma, 2005; Gerhart, 2007; Hartnell, Ou, & Kinicki, 2011; Purcell & Hutchinson, 2007). However, the relationship between HRM and the satisfaction and commitment of employees will be mediated by the organizational culture and condition affecting the success or failure of HRMp (Abdullah et al., 2015; Ahmadnia Chenijani & Yaghoubi, 2013; Moynihan & Pandey, 2007). The cultural dimensions proposed by Hofstede (1980) are individualism/collectivism, risk aversion, masculinity/femininity, and hierarchical distance. Nevertheless, in our work, among cultural dimensions proposed by Hofstede (1980), we have only considered the hierarchical distance (HD). Otherwise, a hard macro model of research could be difficult to explore. The election of HD is due to its special emphasis on horizontality of modern
R.T. Sánchez et al 174 organizations and therefore, the dynamics of the working groups as well as the processes that are generated inside and outside the working groups. Thus, firstly we try to find out if HD is involved throughout the process and, where appropriate, how it affects the relationship between HRMp and social processes. Jacques (1951) defines organizational culture as the traditional way of thinking and doing things in an organization and forming values shared by all members (to greater and lesser degrees); so, members learn and accept them (Ahmadnia Chenijani & Yaghoubi, 2013; Pheng & Yuquan, 2002). Organizational culture reflects behaviors, beliefs, attitudes, and values which should be considered when designing and implementing HRM systems (Detert, Schroeder, & Mauriel, 2000; Triguero-Sánchez & Peña-Vinces, 2013). Along the same lines, other studies have shown the effects of organizational culture. For instance, collectivist cultures foster compromise of employees or risk aversion assumptions due to the difficult balance between work life and personal life (Hofstede, 1980, 2004). Horizontal cultures (i.e. low-power distance) support some HRMp which help to make employees autonomous (Costigan, Insinga, Berman, Kranas, & Kureshov, 2011). Fischer and Mansell (2009) found that low-power distance correlates positively with employee commitment and negatively with thoughts of leaving the organization. We infer the importance of both organizational culture and managers’ perceptions of that culture since their decisions determine the quality and efficiency of HRM (Pheng & Yuquan, 2002; Triguero-Sánchez, Peña-Vinces, & SánchezApellániz, 2013) which influence organizational outcomes (Carroll, Dye, & Wagar, 2011). However, the literature is unclear regarding how cultural dimensions condition the relationship between social processes and HRMp (Osman-Gani et al., 2013) including their impact on firms’ performance (Carroll et al., 2011). Therefore, our study aims to fill this gap found in the HRM literature. Considering extant literature, this study addresses the mediating role of the HD in the relationship between social processes (i.e. participation, consensus, and conflict) and HRMp. Thus, to study HRMp, we followed the classification proposed by Guest, Michie, and Conway (2003) which covers effective recruitment, training, progress and development, evaluation and assessment, remuneration flexibility, job design, communication, job security, equal opportunities, and quality management. The Literature Review It has been widely accepted that competitive advantages substantiated in technological and/or physical resources are easier to imitate than human resources (Wright & McMahan, 1992). In addition, when the rules and regulations concerning HRM become part of business values, the characteristics of aspects which are valuable, unique, and difficult to imitate that make organizational culture an important factor for managers are accentuated (Richard & Johnson, 2001). RBV suggests that the survival of an organization is
175 International Journal of Organizational Leadership 5(2016) based on its ability to manage its resources in general and HR in particular (Barney, 1991). Such theory (RBV) postulates that the corporate decision to invest in human and material resources is influenced by economic incentives so that companies and employees establish a relationship of mutual exchange (Richard, Murthi, & Ismail, 2007). However, to understand the relationship between HRMp and social processes, it is necessary to resort to another theory (i.e. Social Exchange Theory) which is based upon the exchange processes between subjects. Social Exchange Theory (SET) can offer a significant contribution (Homans, 1958) and, as RBV, based on a cost–benefits analysis and comparison of alternatives, it became evident that there is a bidirectional relationship between company and employees. Homans (1958) and later Blau (1964) advanced the concept of exchange between company and employees through the idea of social exchange. Social exchange involves two main dimensions including an expectation of productive efficiency and one of mutual trust between the two parties. Therefore, the parties expect more than a simple exchange. For example, employees invest in the organization because they are involved with work and show recognition and loyalty and expect similar treatment from the other party. This new investment could result in a further recognition by the organization that, in turn, could renew the employee’s desire to reciprocate. In the case of HRMp, this implies that a company that focuses its action on political compromise, predictably will get higher levels of commitment from its employees (Abdullah et al., 2015; Ahmadnia Chenijani & Yaghoubi, 2013; Masihabadi et al., 2015). Consequently, a greater employee participation in decision-making encourages the proliferation of conflicts of tasks (positive) and provokes the reducing the number of interpersonal conflicts (negative) (Fortado, 2001). Construct Definitions HRM Practices and Social Processes HRMp has a relationship with the performance of the employees by their commitment to the organization (Kirkman & Shapiro, 2001; Triguero-Sánchez, Peña-Vinces, González-Rendón, & Sánchez-Apellániz, 2012), thus affecting the degree of their cooperation and enthusiasm to get agreements with other employees (Knight et al., 1999). Among several configurations of HRMp, we can find those who have considered holistic work models, high-performance work systems (Applebaum et al., 2000; Boxall & Macky, 2007; Tomer, 2001), and those concerned with high involvement of management (Lawler, 1986) whose final objectives often coincide in the need to contribute to achieving better business results (Gardner et al., 2001). However, research into HRM and its effects on employee performance are incomplete (Paauwe, 2004; Purcell & Hutchinson, 2007) and the gap between them – the black box – is being studied through intermediate variables (Gerhart, 2005). Generally, both theoretical and empirical HRM research suggests it is
R.T. Sánchez et al 176 important to explore those components of the work system that contribute to organizational success, namely employee skills, work systems (i.e. individual and collective employee contributions), and mechanisms that motivate employees by encouraging participation and overcoming difficulties at work (social processes) (Purcell, Kinne, & Hutchinson, Rayton, & Swart, 2003; Schneider, 1990). Social processes refer to interpersonal relationships among members of workgroups and teams (Stewart & Barrick, 2000). Processes such as decision-making, cohesion, cooperation, conflict resolution, and communication – that determine the results of work teams – are included in this term (W. E. Hopkins & A. A. Hopkins, 2002). Thus, participation in decision-making, consensus-making, and conflict resolution (i.e. social processes) require management systems that allow open discussions (Gautam & Davis, 2007). Bowen and Ostroff (2004) and Kehoe and Wright (2013) address the relation between HRMp and commitment (Ahmadnia Chenijani & Yaghoubi, 2013) and employee behavior (Yukl, 2011). Pro-commitment policies relate to increased employee satisfaction (Jeanquart & Mangold, 2002), better integration/identification with workgroups, and lower perceptions of injustice (Milliken & Martins, 1996; Schneider, 1990); relationships that according to Benschop (2001) strengthen employee trust with both workgroups and the organization. Among the HRMp that have been explored and included here are training (Combs & Luthans, 2007; Yap, Holmes, Hannan, & Cukier, 2010), evaluation and assessment (Cannella, Park, & Lee, 2008), compensation (Heywood & O’Halloran, 2004) and job design (Webber & Donahue, 2001). For our research, we have followed Guest et al. (2003) with a version adapted by Triguero-Sánchez et al. (2013) for Spanish case, such authors considering nine HRM practices comprised of related groups of actions targeted at workforce management. The central arguments behind the study of social processes pertain to group processes that can affect the efficiency of the organization (e.g. reducing costs and quicker decision-making) and we have examined three processes from existing research such as conflict, consensus, and contribution to decisions (Jehn, 1997; Jehn, Northcraft, & Neale, 1999; Knight et al., 1999). We define contribution to decisions as behaviors that produce relevant information, sharing with a group, and processing and integration of information and perspectives (Hinsz, Tindale, & Vollrath, 1997). Decision quality refers to the degree to which a decision allows achievement of objectives (Triguero-Sánchez et al., 2013). For example, such a relationship has been found in studies of information systems (Grover & Segars, 2005), production (Dowlatshahi, 2005), marketing decisions and corporate strategic decisions (Hiller & Hambrick, 2005). On the other hand, Goll and Rasheed (2005) provide empirical evidence regarding the role decision-making plays in organizational performance. We define consensus as agreement-seeking that leads to greater member satisfaction with a group and higher acceptance of group decisions (Knight et al., 1999). Although there are many causes of a lack of
177 International Journal of Organizational Leadership 5(2016) workgroup consensus, what is important is that the group is incapable of making decisions, possibly leading to conflict (Pitcher and Smitch, 2001). Lack of consensus during decision-making slows information flows, eventually influencing the organization’s ability to respond quickly (Ancona & Caldwell, 1992). Conflict influences development, group performance, and subsequent success or failure of decision implementation (De Dreu & Weingart, 2003). Traditionally, conflict during decision-making has been conceived as a negative element (Hackman & Morris, 1975), hurting group performance (Gladstein, 1984) and causing frustration (Thomas, 1976). However, most contemporary research reorganizes conflict as a complex variable (Pinkley, 1990). It is occasionally presented as bi-dimensional, with cognitive, functional components or tasks focused on the task as the object of decision-making, and a useful component, dysfunctional or relational, motivated by personal or emotional disagreements (De Dreu & Weingart, 2003). Jiatao and Hambrick (2005) provided initial empirical evidence of the affective conflicts leading to a worse outcome. Conversely, functional or cognitive conflicts collaborate to improve outcomes (Jehn, 1997). The Mediating Effect of Hierarchical Distance Hierarchical distance as a dimension of organizational culture is determined by organizational structures and relationships established within their framework (e.g. supervision, wages, privileges, etc.), employee participation in decision-making or establishing guidelines for relationships and conflicts that arise (Fischer & Mansell, 2009). In organizations with high HD, performance assessment is usually limited to top-down and unilateral evaluations, given the task requires low HD and high participation (Fletcher & Perry, 2001) and employees do not normally share information with superiors (Huo & Von Glinow, 1995). In these organizations, internal staff members usually perform training because the instructor is perceived as an authority who should provide guidelines and answers to follow (Wright, Szeto, & Cheng, 2002). The same goes for career decisions; a manager knows what is best for the professional development of employees (Aycan & Fikret-Pasa, 2003) and employee participation in workgroup decisions is generally lower than in low-HD contexts (Aycan, 2005) which hinders consensus among workgroups (Knight et al., 1999). Conversely, low HD fosters both communication between employees, and participation and implication in workgroups (Hartnell et al., 2011). Values that dominate in high-HD organizations maintain hierarchy and status, and values in low-HD organizations promote egalitarianism and participation (Aycan, 2005). In low-HD contexts, an employee and their superior frequently determine training needs jointly (Wilkins, 2001), and in high-HD cultures (Sinha, 1997), training is often provided to employees with whom good relations are maintained (Sinha, 1997). Costigan et al. (2011) argue that HD has a positive effect on the relationship between HRM and employee participation in workgroups.
R.T. Sánchez et al 178 The literature review developed previously provides a robust theoretical framework to analyze how HD mediates the configuration and management of HRM practices (Waldman, Sully de Luque, Washburn, & House, 2006) and its effects on the efficiency of social processes within organizations (Curtis, Conover, & Chui, 2012). Research Hypothesis Considering the objective of this study, the following hypothesis guided the study: - HD mediates the relationship between HRM practices and social processes such that when HD is low, the relationship is positive. Hierarchical Distance (HD) Social Processes (PROS) Human Resource Management practices (HRMp) Figure 1. Research model Method This study used a questionnaire as the main instrument according to approaches Dess and Davis (1984) suggest for investigation of HRM. HR managers, HR chairs, and general directors completed the questionnaires. Although HR research often uses a single company informant due to difficulties of obtaining multiple participants, we recognize the potential for mono-method bias. Consequently, we increased confidence in our data by conducting a factor analysis that demonstrated absence of a single factor that accounted for most of the covariances in our variables, suggesting the absence of common method variance (Podsakoff & Organ, 1986) and by identifying qualified respondents (e.g. HR managers). Extant literature suggests that the views of a single, well-qualified informant capture a firm’s approach better than views from several respondents when decisions are centralized (Aragón-Correa, Hurtado-Torres, Sharma, & GarcíaMorales, 2008). Participants were contacted by telephone, and we assured them of the importance of participating in the study. If requested, we promised to send them the results of the study. They were also assured that all information would be confidential, anonymous, and pooled. We also highlighted the importance of the suggestions that the interviewees proposed to us and our gratitude for participation. All of these aspects were emphasized in an introductory letter that accompanied both the questionnaire and a prepaid envelope for returning the questionnaire once completed. Companies were selected from the Iberian Balances Analysis System (SABI) database. Among registered companies, 1,300 companies had between 100 and 2,000 employees in 2007 and 1,169 were established before 2003. The resulting population was 902 companies
179 International Journal of Organizational Leadership 5(2016) with balanced representation of all economic sectors. One hundred and three questionnaires were returned variously – by email, postal mail, online (web survey), and personal interviews with a response rate of 11.42%. Of the sample, 93% belonged to the private sector and the remaining to the public sector (i.e. the Spanish Government). Table 1 and 2 present descriptive statistics for the sample. Table 1 Survey Technical Data Population 902 Firms Universe HR Manager, HR Chair, and CEO Place of Study Andalucía (Spain) Sampling Method Survey: via email, postal survey, and personal interviews Samle Size 102 surveys (discounting ineligible and incomplete.) Period June 2009 to October 2009 Table 2 The Statistics-Characteristics of the Sample Characteristics N Minimum Maximum Mean SD Years of Operation 97 7 86 20.90 12.28 Number of Employees 102 30 1,72 218.03 265.59 Total Assets in Euros (€) 102 327,393 416,598,667 37,051,984 65,657,472 Business Membership (Private) 102 0 1 0.93 0.25 Manager's HR Department 102 0 1 0.68 0.47 Gender Male Female 102 102 0 0 1 1 0.66 0.34 0.25 0.26 Note: SD. Standard deviation N= it referred to number of firms We consulted the literature to identify reliable instruments that have been validated broadly and contrasted in previous studies. To avoid ambiguity in the measurement scales, two native Spanish speakers who were familiar with HRM terminology translated items, adapted from English language literature, from English to Spanish. The variables used to measure HRMp are supported in the extant literature using Guest et al.’s (2003) items (7-point Likert scale) and verified by a Spanish researching work developed by TrigueroSánchez et al. (2013). In the study, number 1 indicated high control and little commitment to the organization and number 7 indicated high commitment and little control. Aspects such as personnel selection, training, evaluation, wage flexibility, job design, communication, job stability, equal opportunities, and HRM quality were measured. Jehn et al.’s (1999) scale were used to measure social processes and we measured processes related to contribution to decisions, consensus, and conflict. It must be indicated that of the three items that form the construct "Conflict", one of them has been coded inversely, given that this is a measure of dysfunctional conflict (item 3). Thus, the entire construct is calculated from 1–7 points in terms of worst to best situation or process.
R.T. Sánchez et al 180 To analyze HD, Baker, Carson, and Carson’s (2009) scale was used (7-point Likert scale), comprised of themes such as subordinate participation in important decision-making, use of authority, and empowerment of positions. Six items were used for this dimension and the statements were of the kind: “The great majority of decisions are made by managers without consulting with subordinates.” For treatment in PLS, the HD’s items were coded reversely which allowed us to verify that the less hierarchical cultures must record values close to 7 scale. According to social processes literature, nearly 100% of HRM studies include control variables. A primary reason is that when studying some aspects of businesses, control variables are required, since organizations operate as systems and not as isolated parts (Triguero-Sánchez et al., 2012). Following Peña-Vinces, Cepeda‐Carrión, and Chin’s (2012) recommendations, we used PLS and included control variables to model realistic behaviors in the firms. Firm size was measured by the number of employees (Gonzalez & Denisi, 2009) and industrial sector (Giardini & Kabst, 2008) and followed categorization from the National Institute of Statistics in Spain which classifies economic sectors into agriculture, industry and construction, trade and restoration, transportation and communications, services to firms, and other services. Following Gooderham, Parry, and Ringdal (2008), economic sectors were classified in terms of contribution to the Spanish GDP using a 7-point Likert scale (1=least important, 7=most important). Results Data were analyzed using structural equation modeling. The PLS procedure has garnered interest and has been used by researchers in recent years because of its ability to model latent constructs under conditions of non-normality and small to medium samples (Chin, 1998). PLS analysis is conducted in two stages (Hair, Sarstedt, Ringle, & Mena, 2012). The first step requires an evaluation of a measurement model and the second of a structural model. The model (Figure 1) evaluates HD mediation between HRMp and social processes which is comprised of four variables with two second-order constructs (i.e. HRMp and PROS). The construct was operationalized using molecular approximation (Lohmöller, 1988). Evaluation of the measurement model began with assessing individual item reliabilities (i.e. factor loadings). Carmines and Zeller (1979) suggest that for an item’s measure to be acceptable, it must exceed a threshold of 0.707 (Table 3). The next step is an estimation of composite reliabilities (CR). The three constructs had CR values above the limit (Table 3) suggested by Nunnally (1978) who indicates a value greater than or equal to 0.70. Finally, average variance extracted (AVE) and discriminant validity were evaluated. AVE should be greater than 0.50 (Fornell & Larcker, 1981), and all constructs exceeded this value. For discriminant validity, the square roots of AVE were compared with correlations among constructs and, on average, each construct related more strongly to its own measure than to others (Table 4).
187 International Journal of Organizational Leadership 5(2016) Cronin, M. A., & Weingart, L. R. (2007). Representation gaps, information processing, and conflict in functionally diverse teams. Academy of Management Review, 32(3), 761–773. Cropanzano, R., & Mitchell, M. S. (2005). Social exchange theory: An interdisciplinary review. Journal of Management, 31, 874–900. Curtis, M. B., Conover, T. L., & Chui, L. C. (2012). A cross-cultural study of the influence of country of origin, justice, power distance, and gender on ethical decision making. Journal of International Accounting Research, 11(1), 5–34. De Dreu, C. K. W., & Weingart, L. R. (2003). Task versus relationship conflict. Team performance and team member satisfaction: A meta-analysis. Journal of Applied Psychology, 88(4), 741–749. Dess, G. G., & Davis, P. S. (1984). Porter’s (1980) generic strategies as determinants of strategic group membership and organizational performance. Academy of Management Journal, 27(3), 467–488. Detert, J. R., Schroeder, R. G., & Mauriel, J. J. (2000). A framework for linking culture and improvement initiatives in organisations. Academy of Management Review, 25(4), 850–863. Dowlatshahi, S. (2005). A strategic framework for the design and implementation of remanufacturing operations in reverse logistics. International Journal of Production Research, 43(16), 3455–3480. Farndale, E., Hope-Hailey, V., & Kelliher, C. (2011). High commitment performance management: The roles of justice and trust. Personal Review, 40(1), 5–23. Fischer, R., & Mansell, A. (2009). Commitment across cultures: A meta-analytical approach. Journal of International Business Studies, 40(8), 1339–1358. Fletcher, C., & Perry, E. I. (2001). Performance appraisal and feedback: A consideration of national culture and a review of contemporary research and future trends. In N. Anderson, D. S. Ones, H. K. Singali, & C. Viswesvaran (Eds.), Handbook of industrial, work and organizational psychology (pp. 127–144). London: Sage. Fornell, C. & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. Fortado, B. (2001). The metamorphosis of workplace conflict. Human Relations, 54(9), 1189–1221. Gardner, T. M., Moynihan, L. M., Park, H. J., & Wright, P. M. (2001). Beginning to unlock the black box in the HR firm performance relationship: the impact of HR practices on employee attitudes and employee outcomes, Working Paper Series of the Center for Advanced Human Resource Studies (CARHS Working Paper 01-12). Ithaca, NY: Cornell University. Gautam, D. K., & Davis, A. J. (2007). Integration and devolvement of human resource practices in Nepal. Employee Relations, 29(6), 711–726. Geisser, S. (1974). A predictive approach to the random effects model. Biometrika, 61, 101–107. Gerhart, B. (2005). Human resources and business performance: Findings, unanswered questions, and an alternative approach. Management Revue, 16(2), 174–85. Gerhart, B. (2007). Modeling HRM and performance linkages. In P. Boxall, J. Purcell, & P. Wright (Eds.), The Oxford handbook of human resource management. Oxford: Oxford University Press. Giardini, A., & Kabst, R. (2008). Effects of work-family human resource practices: A longitudinal perspective. International Journal of Human Resource Management, 19(11), 2079–2094. Gladstein, D. L. (1984). Groups in context: A model of task group effectiveness. Administrative Science Quarterly, 29, 499– 517. Goll, I., & Rasheed, A. A. (2005). The relationships between top management demographic characteristics, rational decision making, enviromental munificence, and firm performance. Organization Studies, 26(7), 999–1023. Gonzalez, J., & Denisi, A. (2009). Cross-level effects of demography and diversity climate on organizational attachment and firm effectiveness. Journal of Organizational Behavior, 30, 21–40. Gooderham, P., Parry, E., & Ringdal, K. (2008). The impact of bundles of strategic human resource management practices on the performance of European firms. International Journal of Human Resource Management, 19(11), 2041–2056. Gouldner, A. W. (1960). The norm of reciprocity: A preliminary statement. American Sociological Review, 25(2), 161–178. Grover, V., & Segars, A. (2005). An empirical evaluation of stages of strategic information systems planning: Patterns of process design and effectiveness. Information & Management, 42(5), 761–779. Guest, D. E., Michie, J., & Conway, M. (2003). Human resource management and corporate performance in the UK. British Journal of Industrial Relations, 41(2), 291–314. Gupta, V., & Singh, S. (2010). Developing a set of high performance HRM Practices and exploring its relationship with OCB and organizational justice. Proceedings of the 2010 meeting of the Southern Management Association, Florida, US.
R.T. Sánchez et al 188 Hackman, J. R. (1987). The design of work teams. In J. W. Lorsch (Eds.), Handbook of organizational behavior (pp. 315– 342). Englewood Cliffs, NJ: Prentice-Hall. Hackman, J. R., & Morris, C. G. (1975). Group tasks, group interaction process, and group performance effectiveness: A review and proposed integration. Advances in Experimental Social Psychology, 8, 45–99. Hadifz, S. W. M., Hoesni, S. M., & Fatimah, O. (2012). The relationship between organizational citizenship behavior and counterproductive work behavior. Asian Social Science, 8(9), 32–37. Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433. Hartnell, C. A., Ou, A. Y., & Kinicki, A. (2011). Organizational culture and organizational effectiveness: A meta-analytic investigation of the competing values framework’s theoretical suppositions. Journal of Applied Psychology, 96(4), 677–694. Heywood, J. S., & O’Halloran, P. L. (2004). Racial earnings differentials and performance pay. The Journal of Human Resources, 40(2), 435–452. Hiller, N., & Hambrick, D. (2005). Conceptualizing executive hubris: The role of (hyper-) core self-evaluations in strategic decision-making. Strategic Management Journal, 26(4), 297–319. Hinsz, V. B., Tindale, R. S., & Vollrath, D. A. (1997). The emerging conceptualization of groups as information processors. Psychological Bulletin, 121(1), 43–64. Hofstede, G. (1980). Cultures’s consequences: International differences in work-related values. Beverly Hills, CA: Sage. Hofstede, G. (2004). Cultures and organizations, software of the mind intercultural cooperation and its importance for survival (3rd ed.). New York: McGraw-Hill. Homans, G. C. (1958). Social behavior as exchange. American Journal of Sociology, 63(6), 597–606. Hopkins, W. E., & Hopkins, A. A. (2002). Effects of cultural recomposition on group interaction processes. Academy of Management Review, 27(4), 541–453. Huo, Y. P., & Von Glinow, M. A. (1995). On transplanting human resource practices to China: A culture-driven approach. International Journal of Manpower, 16(9), 3–15. Jacques, E. (1951). The changing culture of a factory. London: Tavistock Publications. Jeanquart, S., & Mangold, G. (2002). The impact of team leader performance on team member satisfaction: The subordinate’s perspective. Team Performance Management, 8(5/6), 113–121. Jehn, K. A. (1997). A qualitative analysis of conflict types and dimensions in organizational groups. Administrative Science Quarterly, 42, 530–57. Jehn, K. A., Northcraft, G. B., & Neale, M. A. (1999). Why differences make a difference: A field study of diversity, conflict, and performance in workgroups. Administrative Science Quarterly, 44(4), 741–763. Jiatao, L., & Hambrick, D. C. (2005). Factional groups: A new vantage on demographic faultlines, conflict, and disintegration in work teams. Academy of Management Journal, 48(5), 794–813. Kehoe, R. R., & Wright, P. M. (2013). The impact of high-performance human resource practices on employees’ attitudes and behaviors. Journal of Management, 39(2), 366–391. Kirkman, B. L., & Shapiro, D. L. (2001). The impact of cultural values on job satisfaction and organizational commitment in self-managing work teams: The mediating role of employee resistance. Academy of Management Journal, 44(3), 557–569. Knight, D., Pearce, C. L., Smith, K. G., Olian, J. D., Sims, H. P., Smith, K. A., & Flood, P. (1999). Top management team diversity, group process, and strategic consensus. Strategic Management Journal, 20(5), 445–65. Lawler, E. E. (1986). High-involvement management. San Francisco: Jossey-Bass Inc. Lohmöller, J. B. (1988). LVPLS 1.6 Program Manual: Latent variables path analysis with partial least-squares estimation. Multivariable Behavioral Research, 23(2), 125–127. Masihabadi, A., Rajaei, A., Koloukhi, A. S., & Parsian, H. (2015). Effects of stress on auditors' organizational commitment, job satisfaction, and job performance. International Journal of Organizational Leadership, 4, 303–314. Milliken, F. J., & Martins, L. (1996). Searching for common threads: Understanding the multiple effects of diversity in organizational groups. Academy of Management Review, 21(2), 402–433. Moynihan, D. P., & Pandey, S. K. (2007). Finding workable levers over work motivation: Comparing job satisfaction, job involvement, and organizational commitment. Administration & Society, 39(7), 803–832. Nunnally, J. C. (1978). Psychometric Theory. New York, NY: McGraw-Hill.
189 International Journal of Organizational Leadership 5(2016) Osman-Gani, A. M., Hashim, J. & Ismail, Y. (2013). Establishing linkages between religiosity and spirituality on employee performance. Employee Relations, 35(4), 360–376. Paauwe, J. (2004). HRM and performance: Achieving long-term viability. Oxford, UK: Oxford University Press. Peña-Vinces, J. C., Cepeda‐Carrión, G., & Chin, W. W. (2012). Effect of ITC on the international competitiveness of firms. Management Decision, 50(6), 1045–1061. Pheng, L. S., & Yuquan, S. (2002). An exploratory study of Hofstede’s cross-cultural dimensions in construction projects. Management Decision, 40(1), 7–16. Pinkley, R. L. (1990). Dimensions of conflict frame: Disputant interpretations of conflict. Journal of Applied Psychology, 75, 117–126. Pitcher, P., & Smith, A. D. (2001). Top management team heterogeneity: Personality, poser and proxies. Organization Science, 12(1), 1–18. Podsakoff, N. P., Whiting, S. W., Podsakoff, P. M., & Blume, B. D. (2009). Individual and organizational level consequences of organizational citizenship behaviors: A meta-analysis. Journal of Applied Psychology, 94(1), 122–141. Podsakoff, P. M., & Organ, D. W. (1986). Self reports in organizational research: problems and prospects. Journal of Management, 12, 531–544. Purcell, J., & Hutchinson, S. (2007). Front-line managers as agents in the HRM-performance causal chain: Theory, analysis and evidence. Human Resource Management Journal, 17(1), 3–20. Purcell, J., Kinnie, N., & Hutchinson, S., Rayton, B., & Swart, J. (2003). Understanding the people and performance link: Unlocking the black box. London: CIPID. Richard, O. C., & Johnson, N. B. (2001). Understanding the impact of human resource diversity practices on firm performance. Journal of Managerial Issues, 13(2), 177–195. Richard, O. C., Murthi, B. P., & Ismail, K. (2007). Cultural diversity in management, firm performance and the moderating role of entrepreneurial orientation. Strategic Management Journal, 28, 1213–1233. Schneider, B. (1990). The climate for service: An application of the climate construct. In B. Schneider (Eds.), Organizational climate and culture (pp. 383–412). San Francisco: Jossey-Bass. Sinha, J. B. P. (1997). A cultural perspective on organizational behavior in India. In P. C. Earley & M. Erez (Eds.). New perspective on international industrial/organizational psychology (pp. 53–75). San Francisco: The New Lexington Press. Somech, A. (2010). Participative decision making in schools: A mediating-moderating analytical framework for understanding school and teacher outcomes. Educational Administration Quarterly, 46(2), 174–209. Stewart, G. L., & Barrick, M. R. (2000). Team structure and performance: assessing the mediating role of intrateam process and the moderating role of task type. Academy of Management Journal, 43(2), 135–148. Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society, 36, 111–147. Tenenhaus, M. (2008). Component-based structural equation modeling. Total Quality Management & Business Excellence, 19 (7), 871–886. Thomas, K. (1976). Conflict and conflict management. In W. K. Hoy & C. G. Miskel (Eds.), Educational administration: Theory, research, practice (pp. 100–102). New York: McGraw-Hill. Tomer, J. F. (2001). Understanding high-performance work systems: the joint contribution of economics and human resource management. Journal of Socio-Economics, 30(1), 63–73. Triguero-Sánchez, R., & Peña-Vinces, J. C. (2013). Collectivist culture as a determining of organizational performance through human resource practices. Investigaciones Europeas de Dirección y Economía de la Empresa, 19(3), 158–68. Triguero-Sánchez, R., Peña-Vinces, J. C., & Sánchez-Apellániz, M. (2013). Hierarchical distance as a moderator of HRM practices on organizational performance. International Journal of Manpower, 34(7), 794–812. Triguero-Sánchez, R., Peña-Vinces, J. C., González-Rendón, M., & Sánchez-Apellániz, M. (2012). Human resource management practices aimed to seek the commitment of employees on the financial and non-financial (subjective) performance in Spanish firms: An empirical contribution. Journal of Economics, Finance & Administrative Science, 17(32), 17–30. Waldman, D., Sully de Luque, M. F., Washburn, N., & House, R. (2006). Cultural and leadership predictors of corporate social responsibility values of top management: A GLOBE study of 15 countries. Academy of International Business, 37(6), 823– 837. Webber, S. S., & Donahue, L. M. (2001). Impact of highly and less job-related diversity on work group cohesion and performance: A meta analysis. Journal of Management, 27(2), 141–162.
R.T. Sánchez et al 190 Wilkins, S. (2001).International briefing: training and development in the United Arab Emirates. International Journal of Training & Development, 5(2), 153–165. Wright, P. M., & McMahan, G. C. (1992). Theoretical perspectives for strategic human resource management. Journal of Management, 18, 295–320. Wright, P., Szeto, W. F. & Cheng, I. T. W. (2002). Guanxi and professional conduct in China: a management development perspective. Human Resource Management, 13(1), 156–182. Yap, M., Holmes, M. R., Hannan, C. A., & Cukier, W. (2010). The relationship between diversity training, organizational commitment, and career satisfaction. Journal of European Industrial Training, 34(6), 519–538. Yukl, G. (2011). The impact of human resource management practices on organizational commitment in the banking sector in Kuwait. International Journal of Business & Management, 6(6), 108–123. Zhang, Z., & Jia, M. (2010). Using social exchange theory to predict the effect of high-performance human resource practices on corporate entrepreneurship: Evidence from China. Human Resource Management, 49(4), 743–65.