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The primary purpose of this study is to investigate the relationship between leader bottom-line mentality (BLM) and employee innovative behavior, which may be interpreted by employees’ perceived creativity expectations and moderated by employee time orientation.

A multi-wave and multi-source questionnaire survey with 259 paired Chinese employee–leader dyads provided data to test the theoretical model. Hypotheses were tested with Statistical Package for the Social Sciences (SPSS).

Consistent with hypotheses, leader BLM reduces employees’ perceived creativity expectations and thus inhibits employees’ innovative behavior, and this effect is stronger for employees with short-term orientation.

Our findings highlight the negative influences of leader BLM on innovative behavior and the buffering role of employees’ long-term orientation. Organizations may incorporate BLM in leadership promotion and evaluation and provide corresponding training for leaders to overcome BLM. In addition, long-term orientation can be a valuable indicator in employee recruitment and selection.

This study contributes to a new theoretical perspective of the Pygmalion effects for understanding leader BLM’s influence on employee innovative behavior.

The primary aim of this paper is to concurrently use the data types to enhance econometric analysis in the housing market in developing countries, particularly Namibia.

Scholarly discussions on econometric analysis in the housing market in sub-Saharan Africa suggest that the inadequacy of time series data has impeded studies of such nature in the region. Hence, this paper aims to comparatively analyse the impact of economic fundamentals on house prices in Namibia using real and interpolated data from 1990 to 2021 supported by the ARDL model.

It was discovered that in all the three types of data house prices were affected by fundamentals except real GDP in the long term. It was also noted that there were not much significant variations between the real data and the interpolated data frequencies. However, the results of the annual data and the semi-annual interpolated data were more analogously comparable to the quarterly interpolated data

It is suggested that the adoption of interpolated data frequency type should be based on the statistical significance of the result. In addition, the need to monitor the nexus of the housing market and fundamentals is necessary for stable and sustainable housing market for enhanced policy direction and prudent property investment decision.

The study pioneer to concurrently use the data types to enhance econometric analysis in the housing market in developing countries.

This study aims to propose a moderated mediation model to investigate the moderating effects of environmental, social and governance (ESG) performance on the relationship between inefficient investment and firm performance and the mediating effect of firms that participate in institutional research on the relationship between investment efficiency and performance. This study also analyses the heterogeneity of the corporate nature, intensity of industrial research and development (R&D), industrial competition and regional marketization.

This study uses a panel data fixed-effects model to conduct a regression analysis of 1,918 Chinese listed firms from 2016 to 2020. A Fisher’s permutation test is used to examine the differences between state-owned and nonstate-owned firms.

Inefficient investment negatively impacts corporate performance and higher ESG performance exacerbates this effect by attracting more institutional research which reveals more problems. State-owned enterprises perform significantly better than nonstate-owned enterprises in terms of ESG transformation. Industrial R&D intensity, competition and regional marketization also mitigate the negative effects of inefficient investment on corporate performance.

This study suggests that companies should consider inefficient investments that arise from agency issues in corporate ESG transformation. In addition, state-owned enterprises in ESG transformation should take the lead to achieve sustainable development more efficiently. China should balance regional marketization, encourage enterprises to increase R&D intensity, reduce industry concentration, encourage healthy competition and prevent market monopolies.

This study combines the agency and stakeholder theories to reveal how inefficient investments that arise from agency issues inhibit value creation in ESG initiatives.

This study aims to examine the association between responsible leadership and work engagement through the mediation of knowledge sharing. Further, the study explored the boundary condition of helping initiative behavior (HIB) between responsible leadership and knowledge-sharing (KS) behavior.

Considering work engagement as a global challenge, the data for this study was collected from 386 employees working in various organizations on convenience basis. Specifically, the data was collected in two waves through a questionnaire-based survey method and structural equation modeling was used for hypotheses testing.

The results reveal that responsible leadership directly and indirectly (through knowledge sharing) affects work engagement. In addition, HIB strengthens the association between responsible leadership and knowledge sharing.

The study collected data from a developing country. However, the findings suggest management should implement such practices that enable leaders to be more responsible. Such leaders create a learning environment that enhances knowledge sharing and promotes work engagement.

Based on social exchange, this study explored the mediating role of KS behavior between responsible leadership and work engagement and the conditional role of HIB between responsible leadership and KS behavior.

Companies seek to increase the percentage of acquisitions in different parts of the world by expanding operations. Many companies are adopting strategic mergers to expand their influence. However, most strategic change programs fail to achieve their objectives. This study aims to investigate employees’ reactions after strategic mergers through the mediating role of the employees’ psychological context. It was necessary to identify the most prominent postmerger employees’ behaviors. The study addressed this gap by investigating the outcomes of strategic mergers.

Data for this study were collected from 30 family businesses. Accordingly, 341 questionnaires were collected with an overall response rate of 64%. The structural equation modeling (PLS-SEM) approach and the nonlinear relationships approach were adopted by implementing artificial neural network (ANN) analysis.

The results confirm that there is a clear impact of strategic mergers on employees’ postmerger behavior because of the change at the hierarchical level and the process of distributing roles. Employees’ psychological context (individual incentives, anxiety and individual mobbing) mediates the relationship between strategic mergers and postmerger employees’ behavior. In addition, individual incentives are considered the main contributor to retaining or not retaining employees in family businesses after strategic merger.

Policymakers in organizations must pay attention to employees’ possible reactions to the internal and external policies of the organization by increasing individual incentives and reducing individual mobbing toward strategic merger. This study has theoretical implications that are critical guidelines for academics in mitigating the negative consequences for employees’ postmerger behavior. This study captured linear and nonlinear relationships to discover the determinants and antecedents of a strategic merger in family businesses. However, future studies should focus on using more robust statistical methods by adopting decision-making methods to determine the best and worst companies in terms of adopting strategic mergers.

The scarcity of literature on the most important determinants of postmerger employees’ behavior is considered an encouragement to conduct the current study. To this end, this study enriches the ongoing and future literature by examining the most important factors influencing the strategic merger of family businesses. Family businesses have changed the economic landscape of many countries. The investigation of the strategic merger of these companies is considered a worthy matter of study to improve the nation’s economy.

This research aims to identify and model metrics and sub-metrics that enhance sustainable performance measurement in agri-food supply chains.

The study evaluates five key metrics and 18 sub-metrics critical to this industry, establishing interrelationships among them to ensure a successful sustainable performance measurement system. The decision-making trial and evaluation laboratory technique was employed, integrated with fuzzy theory and expert opinions.

The findings suggest that metrics like information technology and organizational productivity, alongside the sub-metric of information integration, significantly contribute to sustainable supply chain performance.

This study proposes a performance measurement system that enables organizations to achieve optimal performance levels through a sustainable supply chain (SCC) and supply chain agility (SCA) framework, supported by digital technologies.

The purpose of this study is to determine if regional proximity and fan club involvement could be used to predict success for brands that jointly sponsor a team and their key rival.

A brand with regional proximity to the rival teams it sponsored was identified. Fan club members of a major college sports team served as respondents. Structural equation modeling was used to test a model that predicted antecedents to purchase intentions and positive word-of-mouth based on individual fan characteristics.

Results suggest that the intrinsic and social components of fanship as well as regional proximity facilitate the success of brands jointly sponsoring rivals. The intrinsic dimension of fandom foreshadowed approval of the joint sponsorship investigated but did not directly enhance the sponsor’s brand equity. Instead, it was demonstrated that fans must first approve of the joint sponsorship arrangement before conferring elevated brand equity onto the sponsor. Increased social interaction with the fan club resulted in higher levels of purchase intentions and positive word-of-mouth of the joint sponsor.

This study differs from prior studies investigating joint sponsors in four ways. First, the intrinsic and social dimensions of fanship were measured within the context of a fan community. Second, the context of the study included a sponsor with regional proximity to both rival teams. Third, it was determined that the proclivity for social interaction within a fan community enhances the positive outcomes for joint sponsors. Fourth, unlike previous research studying joint sponsors, this study demonstrates a path to success for these brands.

The paper aims to develop a cogent and coherent research instrument to measure the effect of good citizenship actions by corporations on the commitment of their employees through micro-level research (i.e. based on the perceptions of employees’ themselves).

A three-phase modus operandi has been used, where at first scale, items have been phrased from a methodical review, then arranged and finally validated by factor analysis. For this, 240 forms filled out by the top-notch executives of selected Indian family conglomerates have been analysed through a split-sample approach.

The results of exploratory factor analysis and confirmatory factor analysis uncover and underpin three building blocks (employee fidelity, immersion and perseverance) and indicate 14 indicators to reflect employees’ strong commitment on account of corporation’s citizenship endeavours.

This measurement catalyst would function as a panacea while addressing the existing methodological gap (by conducting an all-inclusive micro-level exploration), conceptual gap (using the “extended view” of corporate citizenship) and contextual gap (through culture-specific examination). Also, it could complement the earlier macro-level investigations.

It would realistically support corporate practitioners in identifying how their good deeds of citizenship have been affecting the diverse sides of commitment among their most valued yet overlooked assets.

Corporate citizenship, a concept that has by now theoretical relevance for a company’s internal stakeholders and on the commitment, they manifested, can nonetheless obtain empirical significance as well through this micro-level instrument by divulging employees’ underlying facets of commitment.

Despite the growing use of social media platforms, it’s important to acknowledge and understand the potential negative aspects associated with its usage. This paper aims to explore the impacts of social media stress development and understand the roles of self-esteem, social media dependency and online reputation.

A survey-based quantitative approach was followed for this study, targeting social media users over 18 years of age, and the data were gathered through an online questionnaire. Exploratory factor analysis (EFA) and structural equation modeling (SEM) were employed to evaluate the study model.

Study findings indicate that higher self-esteem reduces reliance on social media. Also, social media users’ concern about the digital image is caused by increasing social media dependency, which may lead to stress as individuals struggle to maintain a positive digital image on these platforms.

This study provides valuable insights into the negative aspects of social media use, emphasizing the need for strategies to mitigate the risks associated with excessive social media use and encourage the use of healthier digital habits to ensure user’s psychological well-being.

This paper aims to explore the relationship between digital transformation, international competition and productivity progress by examining the dual margins of export, thereby identifying the digital development pathway for key industrial chains within the context of regional medical and health cooperation.

By constructing models incorporating both the extensive margin and intensive margin, this paper delves into the reasons underlying changes in product trade value and variety within international market competition. Utilizing export data for medical products from China to Belt and Road Initiative partner countries spanning from 2007 to 2020, an industry–destination–time panel benchmark model is established to assess the impact of digital transformation on product expansion and international competition.

The findings reveal the following insights. First, digital transformation positively impacts the intensive margin of medical products, whereas it does not exert a positive influence on the extensive margin. Second, the impact mechanism test indicates that digital transformation fosters the intensive export margin by enhancing the technical efficiency of exports but exhibits an inverted U-shaped effect on technological progress. Third, digital transformation demonstrates a notable non-linear characteristic, with a substantial increase in the lifting effect once a certain threshold is surpassed.

While previous research has extensively explored the effects of digital transformation on export trade, this study uniquely integrates the concepts of the intensive and extensive margins of export, thereby enriching the research insights derived from existing literature. It focuses on the nonlinear effects and threshold dynamics of digital transformation, particularly in relation to total factor productivity. Additionally, the paper makes a contribution to the understanding of the Health Silk Road by incorporating the health index.