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This research aimed to measure the influence of resource dependency (trading and/or shareholder's dependencies) squad age structure by building archetypes to identify strategic dominant schemes.

Based on the Ligue 1 football clubs from the 2009/2010 season to the 2018/2019 data, the authors use the k-means classification to build archetypes of resource dependency and squad structure variables. The influence of resource dependency on squad structure is then analysed through a table of contingency.

Firstly, the authors identify archetypes of resource dependency with some clubs that are dependent on the transfer market and others that do not count on sales to balance their account. Secondly, they provide different archetypes of squad structure choices. The contingency between those archetypes allows to identify three main strategic schemes (avoidance, shaping and adaptation).

The research tests an original relationship between resource dependency of clubs and their human resource strategy to respond to it. This paper can help to provide detailed profiles for big clubs looking for affiliate clubs to know which clubs have efficient academy or player development capacities.

The adoption of social media has been extensively discussed. However, to explain the adoption of traditional social media, considering the benefits and risks accumulated from the experiences of social media use, the extent literature is limited. Thus, this paper investigated the act of traditional social media users’ switching behavior from a dynamic perspective and the level of information privacy concerns and social media privacy to measure the risks and benefit accumulated from this dynamic process.

This study of Facebook and Twitter users, who are regarded as representative of traditional social media, are selected as research targets surveyed and were required to answer a specially designed questionnaire in order to determine their general feeling on social media platforms they currently use. As a part of this process, quota sampling was used to collect different samples based on gender and age. In this paper, t-test, one-way ANOVA and multiple comparisons were used for the statistical analysis, conducted through SPSS.

Information privacy concerns and social media dependency affect the adoption of social media. Secondly, social media dependency is a more salient determinant for social media adoption. Therefore, social media firms should pay more attention to enhancing user dependency of social media by increasing user involvement of social media.

This study intends to conduct a research design that provides an overall and holistic understanding of user usage experience. To do this, it investigates the intensity of switching behavior through the level of dependency and the level of information privacy concern that users inevitably exhibit through the use of social media over long time.

The purpose of this paper is to understand how reverse resource exchanges and resource dependencies are managed in the service supply chain (SSC) of returnable transport packaging (RTP).

A single case study was conducted in the context of automotive logistics focusing on the RTP SSC. Data were collected through 16 interviews, primarily with managers of a logistics service provider (LSP) and document analysis of contractual agreements with key customers of the packaging service.

Resource dependencies among actors in the SSC result from the importance of the RTP for the customer’s production processes, the competition among users for RTP and the negative implications of the temporary unavailability of RTP for customers and the LSP (in terms of service performance). Amongst other things, the LSP is dependent on its customers and third-party users (e.g. the customer’s suppliers) for the timely return of package resources. The role of inter-firm integration and collaboration, formal contracts as well as customers’ power and influence over third-party RTP users are stressed as key mechanisms for managing LSP’s resource dependencies.

A resource dependence theory (RDT) lens is used to analyse how reverse resource exchanges and associated resource dependencies in SSCs are managed, thus complementing the existing SSC literature emphasising the bi-directionality of resource flows. The study also extends the recent SSC literature stressing the role of contracting by empirically demonstrating how formal contracts can be mobilised to explicate resource dependencies and to specify, and regulate, reverse exchanges in the SSC.

The research suggests that logistics providers can effectively manage their resource dependencies and regulate reverse exchanges in the SSC by deploying contractual governance mechanisms and leveraging their customers’ influence over third-party RTP users.

The study is novel in its application of RDT, which enhances our understanding of the management of reverse exchanges and resource dependencies in SSCs.

Based on the social information processing theory, the purpose of this study is to propose a conceptualized moderated mediation model for testing the linkage between leader narcissism and employees’ innovative behavior through the mediating effect of employees’ cognitive dependency and the moderating effect of environmental uncertainty between employees’ cognitive dependency and their innovative behavior.

In this study, multisource data from 266 employees and their supervisors in 11 large high-tech Chinese companies were collected through a field study and an online survey. The hypotheses were tested using structural equation modeling and bootstrapping.

The results of this study show that leader narcissism has a negative impact on employees’ innovative behavior and that employees’ cognitive dependency plays a mediating role between leader narcissism and employees’ innovative behavior. Cognitive dependency and environmental uncertainty play moderated mediation roles between leader narcissism and employees’ innovative behavior.

In the future, longitudinal research and experimental methods can be used to avoid common method bias. Further studies could allow leaders to evaluate environmental uncertainty and explore the emotional path by which leader narcissism has negative effects on followers’ innovation from social information processing theory. In addition, future studies can explore cognitive dependency more deeply from the perspectives of forced obedience and active worship.

Organizations should warn leaders to control the dark side of narcissism and minimize environmental uncertainty to reduce barriers to innovation.

This study constructs the path of the effect of leader narcissism on employees’ innovation through employees’ cognitive dependency in a specific context, which enriches theoretical research on the link between leaders’ traits and employees’ innovative behavior. Along with the finding of leader narcissism’s negative effect on employees’ innovative behavior, this study explores the dark side of leader narcissism in the context of China’s high-tech firms and environmental uncertainty.

This article examines the application of "resource dependency theory" to transnational corporations (TNCs) operating in host countries like Bangladesh to explain the relationship between the TNCs and Bangladesh. Data indicate that while the TNCs' participation in a third world host country is encouraged primarily for promoting its economic development, TNCs are mainly attracted by market size, purchasing capacities (determined mainly by GNP) of the population, and stable political condition of the country. Although examination of the application of resource dependency theory provides some insights into understanding the complicated relationship between TNCs and Bangladesh, several other factors, not explained by resource dependency theory, help explain the behavior of TNCs in a host country

The topic of this research focuses on companies’ perceived time and relationship dependencies in supply chains. The empirical findings are based upon a mail survey in the Swedish automotive industry. The principal contribution is a typology of vulnerability scenarios in supply chains based upon perceived time and relationship dependencies towards both suppliers and customers. A methodological contribution of this study is its simultaneous consideration of companies’ inbound and outbound supply chains.

This article provides a descriptive account of the impact of new production methods and the consequences for the internal dependency relationship. The case study examples illustrate the nature of the internal dependency relationship under the new production methods and attempts to assess how this internal dependency relationship interacts with increasing devolved responsibility, problem solving and continuous improvement at source, and the use of increased information at shop floor level. Implications for future management of these dependencies are examined.

The purpose of this paper is to propose a method to address the problem of selecting risk response actions (RRAs) considering the risk dependency that is seldom considered in the existing studies.

First, a method based on the Measuring Attractiveness by a Categorical-Based Evaluation Technique (MACBETH) is proposed to measure the dependencies between the risks, and then a preference coefficient denoting the relative importance of the risk dependency is introduced. Besides, an exponential utility function is used to describe the project manager’s (PM) risk-averse behaviour. Finally, a mathematical model that incorporates the risk dependency and risk preference of the PM is constructed for selecting the RRAs.

Risk dependency plays an important role in the process of RRA selection. First, more expected utility can be obtained when the risk dependency is considered. Second, more attention should be paid to the risk dependency for coping with critical risks when the budget is tight.

This method can be applied to determine the RRAs when the risk dependency exists between the project risks.

This paper proposes a model to select RRAs with consideration of the risk dependency, which is an important issue from a theoretical as well as a practical perspective in project risk management.

This study aims to focus on the subcontracting relationship between small and medium-sized enterprises (SMEs) and business group buyers and analyze the effect of the level of buyer dependency on R&D intensity. The primary prediction is that buyer dependency and R&D intensity have a non-linear relationship, showing an inverted U-shaped relationship. Furthermore, the moderating effect of founder CEOs and internationalization is explored.

A sample of 546 firm-level survey responses were collected from Korean subcontracting SMEs provided by the Ministry of SMEs and Startups and the Korea Venture Business Association.

A lower level of dependency on business group buyers promotes R&D investment, while excessive dependence reduces R&D investment. Moreover, founder CEOs and internationalization decrease the effect of buyer dependency on R&D investment, implying that both firm characteristics are associated with a long-term focus and promote R&D investment.

This research contributes to the literature on the special form of the buyer–supplier relationship, that is, subcontracting. Subcontracting has a contradictory effect on R&D investment based on large group buyer dependency, and this relationship is moderated by the founder CEO and internationalization.

This study provides insights to managers and practitioners governing SME subcontracting by showing that the level of buyer dependency is better managed in promoting innovation, and the long-term perspective allows SMEs to be less affected by buyer dependency.

This study extends the literature by focusing on the non-linear relationship between buyer dependency and R&D intensity of subcontracting SMEs. This approach addresses the contradicting results suggested by prior supply chain management literature and suggests that the level of buyer dependency should be considered when analyzing the subcontracting relationship.

The purpose of this paper is to investigate the role of spatial dependency in the construction of a price index for the transactions of whole office buildings. It examines transactions of office buildings over a 15-year period and addresses an under-researched area in investment property analysis.

The study examines data relating to transactions of all office buildings in the Melbourne (Australia) central business district between 2000 and 2015. The methodology uses a spatial weights matrix to construct a hedonic model, spatial error model, spatial lagged model and an office building transactional price index.

The findings confirm the existence of spatial dependency for the transactions of office buildings. In addition, incorporating the effect of spatial dependency by constructing spatial error and spatial lagged model improved the accuracy of the estimated transactional price index for office buildings.

These findings make an important contribution to the literature by highlighting the importance of the issue of spatial autocorrelation in the estimation of valuation models and price indexes for office buildings. Until now the focus has predominantly been on individual office units rather than whole office buildings, where the barrier has traditionally been access to comprehensive data. The analysis did not consider leasing details as this information is not accessible in the Australian market.

The research will assist stakeholders including valuers, investors and market regulators to improve their understanding of movements in the office property transactional market. The findings provide an insight into trends associated with the transfer of office buildings. It will assist future decisions about the location of a new office building developments in order to optimise their proximity to transport and other buildings.

The study will assist planners to ensure the location of office buildings are optimised from a social sustainability perspective. This equates to buildings located in close proximity to transport facilities and also supporting the development of office buildings in locations, which are associated with lower future risk.

The construction of an accurate and reliable property index is critically important for practitioners to understand the movement in both the property market and also in the broader economy. A substantial increase in whole office building acquisitions has been observed in recent years, especially after the 2007 Global Financial Crisis (Lizieri and Pain, 2014) although there has remained limited research undertaken in this area.