Partial least squares structural equation modeling in HRM research

Abstract

Partial least squares structural equation modeling (PLS-SEM) has become a key multivariate analysis technique that human resource management (HRM) researchers frequently use. While most disciplines undertake regular critical reflections on the use of important methods to ensure rigorous research and publication practices, the use of PLS-SEM in HRM has not been analyzed so far. To address this gap in HRM literature, this paper presents a critical review of PLS-SEM use in 77 HRM studies published over a 30-year period in leading journals. By contrasting the review results with state-of-the-art guidelines for use of the method, we identify several areas that offer room of improvement when applying PLS-SEM in HRM studies. Our findings offer important guidance for future use of the PLS-SEM method in HRM and related fields.     

Coping with coopetition—Facing dilemmas in cooperation for sustainable development: The case of the Dutch smart grid industry

This paper is amongst the first to examine coopetition strategy for sustainable development at the network level. Companies who want to successfully implement complex innovative technologies that support sustainable development need to collaborate with other actors of the innovation ecosystem, including their competitors, so that they can develop standards, interoperable products, pool knowledge, and resources and bundle forces to compete against other technologies. Collaboration with competitors brings benefits, but also many risks. We investigated how firms cope with these risks when establishing an innovation ecosystem to implement a new technology in society. We conducted research in the Dutch smart grids sector and explored how these firms minimize inherent risks of coopetition. We found that system‐building actors in the Dutch smart grid field not only minimize inherent risks, but from the start of their collaboration they implement so‐called enablers to prevent these risks upfront.     

Does the Franchisor Provide Value to Franchisees? Past,Current, and Future Value Assessments of Two Franchisee Types

The degree to which a franchise system penetrates a target market over time often is influenced by the rate to which its individual franchisees expand. Yet a franchisee's decision to expand the business operation depends, in part, on the perception of value that the franchisee expects to receive from the franchisor in return for a variety of fees (for example, entry fee, advertising fees, royalties). Moreover, the franchisee's experience with its franchisor may strengthen or weaken his or her perception of franchisor value. The change in perception of franchisor value can influence franchisees' decisions to expand their franchise operations. To date, scant research exists on factors influencing a franchisee's decision to expand. In the reported study, a four-stage analysis was conducted to examine empirically whether franchisees' opinions about the value of their franchisors changes over time. The study findings reveal that franchisees had the strongest, positive opinions when asked to recall an earlier decision to expand their franchise operations. These opinions weakened when franchisees contemplating expansion of their operations were asked for their current and anticipated future opinions of franchisor value. Overall, franchisees were undecided when asked about their perceptions of current franchisor value and anticipated future franchisor value. Implications of these findings for theory and practice of franchising are discussed.     

Networks and network resources in technological innovation systems: Towards a conceptual framework for system building

Previous research has shown that formal networks can play a crucial role in the formation of technological innovation systems (TIS). Firms and other actors collaborate in formal networks not only to generate new knowledge but also to strategically create and shape supportive system resources such as technology specific R&D programs. This paper takes a closer look at the resources, which are developed and deployed by networks to facilitate the building up of a TIS. Networks rely not only on the organizational resources of their members but also on new resources developed at the network level including network governance structures, trust among network members, a common understanding of the strategic goals or a good reputation of the network. Our analysis shows that the capacity of networks to fulfill different tasks of system building especially depends on the network resources they are able to establish. With the differentiation of organizational, network and system resources we introduce a conceptual framework, which makes three important contributions. It highlights the strategic nature of (innovation) system building; it allows us comparing the contribution of different actors and formal networks in this regard; and it improves our understanding of how firm and system level processes are intertwined.     

A multi-criteria assessment of tourist farm service quality

Farm tourism is a significant means of supplementing farmers' incomes. This paper presents a methodology for ranking tourist farms by using a multi-criteria model based on the qualitative multi-criteria modeling methodology, DEX, to assess service quality. The software tool DEXi was used to achieve this end. The model was then applied to seven tourist farms with data derived from questionnaires completed by tourist farm operators and guests. The results are shown as service quality assessments for individual farms. The potential of the model for assessing the farms is demonstrated with the aim of providing a comprehensive explanation and justification of the assessment technique. It also indicates potential improvements that farms can make through “what-if” analysis and visualization. Despite limitations, such as use of qualitative data only, the approach is proposed as being both appropriate and advantageous when compared with other means of ranking enterprises.     

ERP in action — Challenges and benefits for management control in SME context

ERP systems have fundamentally re-shaped the way business data is collected, stored, disseminated and used throughout the world. However, the existing research in accounting has provided only relatively few empirical findings on the implications for management control when companies implement ERP systems as the technological platform. Especially scarce are the findings concerning the production phase, after implementation, when the information processes, related work practices and the new information contents can be seen as established. In this paper we explored and theorized the benefits, challenges and problems for management control when an ERP system is in use, four years after the implementation. Our findings also illustrate why and under what circumstances these challenges and benefits may exist. For a holistic view of the organization our findings, based on a qualitative case study, are constructed from the viewpoints of people at different levels and functions of the organization. Top management expected a new strategic control system, but due to the many challenges it ended up with merely financial accounting based control. At the operational level, serious challenges lead to inadequate usage of the ERP system. Management control produces the financial basic data and must contend with many practical problems caused by ERP implementation.     

Risk identification in product innovation projects: new perspectives and lessons learned

The paper addresses the improvement of innovation project (IP) risk identification by applying the RBS (Risk Breakdown Structure) method, and represents a follow-up analysis of the subject (a case of IP before and after applying the method). The activities of risk identification are an initial phase in most of risk management processes and classifications. High-level risk-taking is one of the key characteristics of IPs, due to the fact that this type of projects is related to implementation of new ideas. An example illustrates the combination of RBS/WBS for evaluating the risk concentration, called Risk Breakdown Matrix. This research has proven that implementation of the presented approach in the context of the Serbian market can improve efficiency of all phases of the project, especially those related to planning phase.     

Die Bedeutung verhaltensorientierter Aspekte in der Controllingausbildung an deutschen Universit?ten

Die gestiegene Relevanz des verhaltensorientierten Wissens in der Controllingforschung und -praxis gab Anlass zu einer Studie über die Bedeutung verhaltensorientierter Aspekte in der Controllingausbildung an deutschen Universit?ten. Auf Basis einer schriftlichen Befragung von Controllingprofessoren wurde der Status Quo und die erwartete zukünftige Entwicklung der Controllinglehre erhoben. Im Vordergrund der Untersuchung stand die Frage, ob und inwieweit verhaltensrelevantes Wissen vermittelt wird. Die Ergebnisse zeigen, dass der Umfang, in dem verhaltensrelevantes Controllingwissen in den Lehrveranstaltungen vermittelt wird, auch und gerade vom zugrunde gelegten Controllingverst?ndnis des Lehrstuhlinhabers abh?ngt. Die Befragten gehen zudem davon aus, dass verhaltensorientierte Aspekte in Zukunft vermehrt in der Lehre thematisiert werden.     

Nonlinearity and time-variation in the monetary model of exchange rates

In this paper we analyze the existence of nonlinear relationships between macroeconomic fundamentals and exchange rates for some major industrialized countries using an error correction model with time-varying parameters for the post Bretton Woods period. We find that inflation rate differentials with respect to the US inflation rate are the driving forces for the nonlinear relationships in the monetary model for exchange rates for the data from Germany, the UK, Canada, France and Italy. In addition to the variables in the traditional monetary model, also the relative interest rates are relevant in determining exchange rate changes only when the inflation differentials are either very large or very small. In contrast to previous studies we find significant long-run effects in the error correction representation of the monetary model for exchange rates when the nonlinear dynamics is taken into account in the analysis.