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This study proposes an innovative concept of green digital transformation capability (GDTC) and explores the interrelationships among GDTC, ambidextrous green learning (AGL) and sustainability performance (SP) from multiple perspectives.

Survey questionnaires were distributed to Taiwanese firms engaged in various sectors, including electrical and information, metal and precision machinery, rubber material, chemical, daily necessity and food and beverage manufacturing, resulting in 306 valid responses. Structural equation modeling in SPSS v26 was used to test the hypotheses. Furthermore, we analyzed the mediating effects using SPSS PROCESS.

The results demonstrated that GDTC affected SP both directly and indirectly through exploratory and exploitative green learning. Furthermore, this study revealed the pathways through which GDTC influenced the SP of Taiwanese manufacturing firms.

This study is limited to Taiwanese manufacturing firms. Future studies should expand their sample size to explore digital transformation (DT) practices in various regions and industries.

The DTs in manufacturing have profound social implications, emphasizing that companies should consider economic, social and environmental sustainability during digitalization.

This study introduces a novel concept of GDTC and provides important theoretical insights and practical implications for the intersection of DT and sustainability perspective. These findings will offer valuable guidance to companies seeking sustainable development in the digital era.

Prior research on green innovation has shown that institutional pressure stimulates enterprises to adopt green innovation. However, an institutional perspective does not explain why firms that face the same amount of institutional pressure execute different environmental practices and innovations. To address this research gap, the authors linked institutional theory with upper echelons theory and organization performance to build a comprehensive research model.

A total of 800 questionnaires were issued. The final usable questionnaires were 195, yielding a response rate of 24.38%. AMOS 23.0 was used to analyze the data and examine the relationships between the constructs in our model.

Institutional pressures affected both green innovation adoption (GIA) and the top management team's (TMT's) response. TMT's response influenced GIA. GIA was an important factor affecting firm performance. Furthermore, TMT's response mediated the relationship between institutional pressure and GIA. Institutional pressures indirectly affected green innovation performance but did not influence economic performance through GIA. Finally, TMT's response indirectly impacted firm performance through GIA.

The authors draw on institutional theory, upper echelons theory, and a performance-oriented perspective to explore the antecedents and consequences of GIA. This study has interesting implications for leaders and managers looking to implement green innovation and leverage it for firm performance to out compete with market rivals as well as to make the changes in collaboration with many other companies including market rivals to gain success in green innovation.

Building on resource dependence theory and the dynamic institution-based view, this paper examines the influence of government affiliations on firm product innovation in a dynamic institutional environment.

Using unique panel data of Chinese manufacturing firms covering a period of 12 years (1998–2009) with 2,564,547 firm-year observations, this study chooses the panel Tobit model with random effects to explore the influence of government affiliations on firm product innovation, followed by an analysis to test the moderation effects of dynamic institutional environments.

The study findings suggest that Chinese firms with higher-level government affiliations have a relatively high product innovation performance. It finds that this innovation stimulating effect is contingent on the dynamic nature of the institutional environment. To be specific, a high speed of institutional transition may depress the positive innovation effects of government affiliations, while a more synchronized transition speed of institutional components may enhance the positive innovation effects of firms' government affiliations.

This study adds to a better understanding of the drivers of product innovation in Chinese firms that are situated in environments that are characterized by institutional change, using and contributing to resource dependence theory and the dynamic institution-based view.

This study aims to examine the efforts of two universities in Taiwan, particularly their engagement in coastal rural communities, and provides insights into the substantial contributions of University Social Responsibility (USR) projects toward achieving the sustainable development goals (SDGs) in rural settings. The objective of this research is to analyze the outcomes of these case projects on the SDGs and, consequently, to propose a theoretical model aimed at enhancing student participation in achieving SDGs through USR programs.

This study adapted the methodology comprising SDGs contribution analysis and participant observation. The SDGs contribution analysis unfolds in three steps. First, the authors conducted evaluation of the 2030 Agenda for Sustainable Development. This step involved a thorough analysis of all 17 SDGs and their respective targets to establish a foundational understanding. Second, analyzed the outcomes of the case projects to examine the specific contributions of case projects toward achieving the SDGs. Third, the information from the preceding steps is analyzed to determine the extent of the case projects’ contributions to the SDGs.

The study proposes a theoretical model to enhance student engagement in achieving SDGs, emphasizing student empowerment, community partnership and robust evaluation methods aligned with SDGs and social impacts. This model could offer guidance for higher education institutions (HEIs) globally on utilizing USR programs to contribute to the SDGs, while simultaneously enriching student learning experiences through practical engagement and empowerment.

This model can be enhanced and validated by applying more rigorous scientific methods. For instance, conducting surveys on students and community participants of events and activities, utilizing a statistically rigorous approach such as pre-post testing, can analyze the effectiveness of these programs on various SDG-related variables (e.g. awareness of SDGs). Additionally, exploring the relationships between the tested variables can be a potential research direction. For instance, examining whether community engagement can positively increase the social impacts of USR projects, or whether student empowerment can enhance community capacity building, are important issues worthy of discovery.

This model emphasizes the pivotal role of student empowerment, advocating for an educational approach that not only enhances students’ proficiency in community development but also potentially shapes their career trajectories, as evidenced by the case projects examined in this study. In essence, this model offers HEIs a structured pathway to enrich student engagement in realizing SDGs through USR initiatives. It posits student empowerment as the foundational element, fostering a learning environment where students gain valuable skills and insights into community development, potentially guiding their future professional endeavors. This research provides practical direction for those HEIs implementing USR projects, which will increase the positive impacts brought by HEIs, especially for the students and local community.

To the best of the authors’ knowledge, no previous studies have proposed a theoretical model specifically designed to engage students in achieving SDGs through USR programs in a rural context. The significance of this study lies in its potential to serve as a guide for higher education institutions globally, enabling them to effectively leverage USR programs to contribute toward SDGs. This makes the study an invaluable resource for researchers, policymakers and educators who are committed to fostering sustainability.

The purpose of this study is to investigate the impact of the negative expectation–performance gap on the internationalization speed as well as the moderating role of organizational slack, based on the performance feedback theory and the springboard perspective.

This paper takes the Chinese A-share listed companies engaged in outward foreign direct investment (OFDI) between 2010 and 2022 as the research sample. A two-way fixed effects model is employed to test the research hypotheses, using a dataset comprising 6,868 observations.

The findings show that there is a positive relationship between the negative expectation–performance gap and internationalization speed for Chinese multinational enterprises (CMNEs). In addition, this effect is stronger in private CMNEs. Furthermore, the relationship is negatively moderated by organizational slack. Additional findings suggest that that negative industry expectation-performance gap has a stronger impact on the internationalization speed. The moderating effect of unabsorbed slack resources is more pronounced.

When emerging market multinational enterprises (EMNEs) face the dilemma of underperforming, they may consider a rapid internationalization strategy as a solution to improve performance. However, EMNEs should be wary of falling into a resource trap. Organizational slack reduces managers’ incentives to identify issues associated with negative performance feedback, thereby diminishing the likelihood of addressing performance challenges through rapid internationalization. For state-owned EMNEs, optimizing organizational structure and improving the efficiency of responses to negative performance feedback are essential.

Unlike previous studies, this paper integrates performance feedback theory and the springboard perspective to explore in depth the relationship between performance feedback, internationalization speed and organizational slack within the context of managers’ cognitive and decision-making mechanisms. It also examines the distinct impacts of historical and industry negative expectation–performance gaps as well as the different moderating roles of absorbed and unabsorbed organizational slack, which have not been explored together before.

This paper aims to draw attention to the information processing of speed regarding the specific approaches by which suppliers respond to downstream and upstream communications. It examines supply chain management and three-way communication between raw material providers, manufacturing suppliers and buying retailers.

Previous studies have investigated upstream and downstream communication as key drivers for framing the consequences of supply chain communication speed. This study applied a three-stage communication speed mechanism survey and acquired 210 validly matched paired questionnaires between selling suppliers and buying customers in a retailing industry supply chain to better understand and systematically model the empirical communication speed.

Downstream and upstream communication positively increases supply chain speed, which is weakened by the dysfunctional competition scenario. To highlight performance, the faster the speed, the greater performance the superior firm will achieve.

Suppliers are looking to enhance speed for better resilience in dysfunctional competition disruptions. This study offers guidelines and specified carbon footprint scenarios to provide managerial insight into their sustainability performance with a greater information processing mechanism. Slower speed may be exactly what many firms and supply chains need to integrate sustainability initiatives.

This study contributes to the supply chain management literature by shedding light on communication and information processing, of which the speed mechanism eventually enhances firm performance.

This meta-analytic study aims to generalize the impacts of three customer equity drivers (CEDs), including value equity (VE), brand equity (BE) and relationship equity (RE), on different customer metrics (e.g. loyalty, word of mouth [WoM] and satisfaction); examine the relative importance of CEDs on customer metrics; and explore boundary conditions, considering geographic and methodological characteristics.

This study used a meta-analytic approach, collected and coded 85 articles published between 2001 and 2022. After some exclusions, the authors used 272 observations (average of individuals’ sample M = 1,015, min = 10, max = 8,924).

The generalized effects of VE, BE, and RE on the selected customer metrics are positive. However, the importance of each CED differs for WoM and social equity. Between VE and BE, BE correlates more with WoM. RE correlates more with social equity than VE and BE That is, RE is effective in both WoM and social equity. In addition, the impacts of the CEDs on customer loyalty vary across multiple geographic and methodological characteristics. For example, the impacts of VE and RE on loyalty are stronger in more individualistic, more masculine, long-term orientation or more restraint cultures.

While the authors examined VE, BE and RE as the most important marketing strategies, there might be other types of CEDs, such as interactions with others (e.g. employees and customers). Interactions with others at any touchpoints along the customer journey are important experiences (Lemon and Verhoef, 2016). Second, the authors limited the customer metrics to customer loyalty, WoM, customer satisfaction, customer trust and social equity.

The magnitudes of VE, BE and RE differ across the three customer metrics. Compared with VE, BE symbolizes customers’ identity, status and extended self, which motivates WoM. Compared with VE and BE, RE convinces customers of companies’ actions in social equity such as corporate social responsibilities.

The meta-analysis resolves the issue of inconsistent impacts of CEDs across studies. Moreover, including CEDs in a model provides insight into these strategies’ relative importance when considering different marketing objectives. Finally, this study enriches understanding of the boundary conditions on the CEDs–loyalty link.

The study explores the mechanism between employee demand–ability fit and promotability ratings. Moreover, we examine whether political skill moderates the relationship above.

The present study received 260 effective supervisor-rated questionnaires from various industries in Taiwan.

The results reveal that employee demand–ability fit positively relates to promotability ratings, and task performance mediates the above relationship. In addition, political skill positively moderates the relationship between employee demand–ability fit and task performance.

We used the supervisor rating for our variables to test the hypotheses.

The purpose of this study is to scrutinize the relationship between the founder’s control level over the startup and the startup’s board size on fundraising efficiency, in addition to examining how these factors are influenced by different resource combinations that the startup attracts.

A sample of 1356 firm-year observations is collected from both the startup database of Business Next Media Corp. in Taiwan and the Company Registration and Business Registration Database of Taiwan’s Ministry of Economic Affairs’ Department of Commerce. The panel data analytic approach with fixed effect is used for hypothesis testing.

The founder’s shareholding negatively correlates with fundraising efficiency; such a negative relationship can be alleviated by incorporating foreign investors. The board size positively correlates with fundraising efficiency; such a positive relationship can be mitigated by the inclusion of external corporate directors.

While a conventional understanding posits that startups with diverse, multiplex and symmetrical boards can rapidly construct a diverse alliance portfolio, henceforth always being beneficial to growth, this research challenges this notion by probing the possible adverse effects of having an excessive number of outside corporate directors on a startup’s fundraising efficiency.

This paper aims to investigate how different knitted structures affect the illuminative effect of polymeric optical fibres (POFs).

Knit prototypes were constructed using a 7-gauge industrial hand flat knitting machine. The textile prototype swatches developed in this study tested POF illumination in three types of knitting structures: intervallic knit and float stitch structures; POF inlaid into double plain and full cardigan structures; and double plain and partial knitting structures. The illuminative effects of the POFs in seven prototype swatches were analysed and compared.

It is possible to use an industrial hand flat knitting machine to knit POFs. Longer floats expose more POFs, which boosts illumination but limits the textile’s horizontal stretchability. The openness of the full cardigan structure maximises POF exposure and contributes to even illumination. The partial knitting in different sections achieves the most complete physical integration of POFs into the knitted textiles but constrains the horizontal stretchability of the textiles.

The integration of POFs into knitted textiles provides a functional illuminative effect. Applications include but are not limited to fashion, architecture and interior design.

This study is novel, as it investigates new POF knitted textiles with different loop structures. This study examines how knit stitches affect POFs in intervallic knit and float stitch, inlaid POF double knit, double plain and partial knit and the illuminative effects of the knitted textile.