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The purpose of this paper is to investigate the effect of ISO 14001 certification on US public firms’ equity structure regarding whether the typical heavy investment required for environmental management system is justified in terms of equity risk.

This study employs the event study methodology and examines the pre- and post-movements of firms’ equity structure around the ISO 14001 certification date. This study investigated 5,189 listed firms in the New York Stock Exchange and National Association of Securities Dealers Automated Quotation and the abnormal performance of firms’ equity structure was measured by using four dependent variables (assets, liabilities, debt ratio (liabilities/equity), and market-to-book ratio of equity).

The results showed that the adoption of ISO 14001 increased a firm's total assets, liabilities, and debt ratio in the long run, implying that pursuing the certification entails the increase in a firm's size and equity risk. The long-term movement of the market-to-book ratio of equity showed no abnormal performance, while it fluctuated in the short term.

This study suggests that managers should consider the potential risk from a firm's equity structure when they decide to pursue the ISO 14001 certification.

This study is the first effort to investigate the long-term effect of ISO 14001 certification on the firm's equity structure using the event study methodology in the USA.

Developing ambidexterity as a dynamic capability is important for firms to sustain their competitive advantage. Moreover, this capability allows firms to build the resiliency to mitigate enterprise risks. The purpose of this paper is to apply two main theoretical frames from the strategy literature, dynamic capabilities, and organizational ambidexterity, to supply chain management (SCM) to examine mitigation strategies for supply chain (SC) disruptions. The authors empirically investigated how the firm’s SC ambidexterity is developed through a dynamic capability-building process and how this, in turn, can mitigate the negative impact of SC disruptions and improve business performance.

This study conducted a field survey to answer the research questions as there exists no archival database with detailed information on ambidextrous SC strategies and dynamic capability. A total of 316 usable responses were received from managers working in the SC area. Confirmatory factor analysis and structural equation modeling were run on SPSS (version 16.0) and AMOS (version 18.0) to test the hypotheses to answer research questions.

Overall, the results of the study confirmed that a dynamic SC capability-building process is an antecedent of SC ambidexterity, and that SC ambidexterity is important to firms as it mitigate the negative impact of SC disruptions and enhance business performance. To take advantage of an ambidextrous SC, through minimizing the negative impact of SC disruptions and maximizing firm performance, firms should continually search for creative ways to satisfy new market needs and adapt to the fast changing business environment.

This study applied a dynamic capability-building process and ambidexterity to SCM. From the resilient SC perspective, the study found that the ability to effectively utilize existing resources and create novel strategies for problem solving plays a critical role in addressing SC disruptions.

This study aims to empirically investigate the relationship between the directions of pressures affecting green supply chain management (GSCM) and supply chain (SC) performance.

This research is based on a survey because there is no archival database providing detailed information on GSC practices and performance. A survey questionnaire was developed to collect research data, based on the GSC literature and a pilot study in the field. The authors developed hypotheses based on two theories: institutional theory and the resource-based view (RBV). Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to test the hypotheses with SPSS (16.0) and AMOS (5.0).

The results confirmed the importance of implementing environmental SC practices to sustain organizations' competitive advantage and performance. Increased SC flexibility helped reduce resources, through decreased cost factors and improved output. Enterprises with environmental SC policies tended to increase SC flexibility and, hence, enhanced profits.

This paper applies organizational theories to GSCM by extending the institutional-versus-internal-pressure construct to the way enterprises implement GSC strategies for sustainable SC.

Sentiment analysis is a text analysis method that is developed for systematically detecting, identifying, or extracting the emotional intent of words to infer if the text expresses a positive or negative tone. Although this novel method has opened an exciting new avenue for organizational research – mainly due to the abundantly available text data in organizations and the well-developed sentiment analysis techniques, it has also posed a serious challenge to many organizational researchers. This chapter aims to introduce the sentiment analysis method in the text mining area to the organizational research community. In this chapter, the authors first briefly discuss the central role of sentiment in organizational research and then introduce the traditional and modern approaches to sentiment analysis. The authors further delineate research paradigms for text analysis research, advocating the iterative research paradigm (cf., inductive and deductive research paradigms) that is more suitable for text mining research, and also introduce the analytical procedures for sentiment analysis with three stages – discovery, measurement, and inference. More importantly, the authors highlight both the dictionary-based and machine learning (ML) approaches in the measurement stage, with special coverage on deep learning and word embedding techniques as the latest breakthroughs in sentiment and text analyses. Lastly, the authors provide two illustrative examples to demonstrate the applications of sentiment analysis in organizational research. It is the authors’ hope that this chapter – by providing these practical guidelines – will help facilitate more applications of this novel method in organizational research in the future.

This study develops a comprehensive research model and investigates the significant factors affecting positive marketing outcomes in the Metaverse through perceived social benefits and trust.

The authors propose a new research model based on social exchange theory (SET) and examine the impact of cost and reward factors. Using 327 survey samples collected from current Metaverse users in South Korea, dual-stage analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM) and an artificial neural network (ANN) were employed to test the study’s hypotheses.

The results showed that perceived social benefit and trust had significant mediating effects on marketing outcomes, such as loyalty to the seller, product/service attitude, and purchase intention. All antecedents, except perceived performance risk, had a crucial impact on the two mediators. The most interesting finding of this study is the positive influence of knowledge-seeking efforts on perceived social benefits.

This study is the first empirical research to examine the effectiveness of marketing in the Metaverse. It also proposes a new theoretical model based on SET to investigate users’ behavioral intentions regarding marketing in the Metaverse, and confirms its explanatory power. Moreover, the results of this study also offer suggestions to brands on how to market to consumers in the Metaverse.

The purpose of this study is to describe South Korea’s unique fever for public service jobs (FPSJ) and to critique it from a National Human Resource Development (NHRD) management framework.

This paper reviewed previous studies, news and technical reports related to FPSJ and NHRD to connect FPSJ and NHRD.

This study analyzed FPSJ-related issues based on three areas (development, allocation and utilization) of human resources and four contexts (political, economic, social and educational backgrounds). FPSJ has led to multiple concerns about developing human resources (vocational education and career guidance), allocating human resources (the unbalanced supply-demand mismatch and flawed selection) and using human resources (delayed job entry and low public service ethos).

This study analyzes the challenges related to FPSJ in Korea from a NHRD perspective. Based on the analysis, this study recommends strategies for reducing the over-emphasis on FPSJ.

The study of supply chain resilience (SCRES) continues to gain interest in the academic and practitioner communities. The purpose of this paper is to present a focused review of the SCRES literature by investigating supply chain (SC) capabilities, their relationship to SCRES outcomes and the underpinning theoretical mechanisms of this relationship.

The paper uses the systematic literature review approach to examine 383 articles published between 2000 and 2017, ultimately down selecting to the most relevant 228 peer-reviewed studies. Context-interventions-mechanisms-outcomes (CIMO) logic is applied to organize and synthesize these peer-reviewed studies. A typological framework is developed from the CIMO-based classification of the SCRES literature.

The findings of this study outline the gaps in the SCRES literature and present an agenda for future research.

This paper presents an exploratory research; therefore, the typological model presented is just one of the possible perspectives.

The typology of SCRES literature can help practitioners to understand SCRES and to measure and assess the resilience of SCs.

The paper provides clear definitions of SCRES constructs, develops a typological framework to further understand SCRES and identifies SCRES measures and assessment techniques.

This study aims to contribute to literature on mobile learning (m-learning) by proposing four research clusters whereby scholars can expand m-learning research to facilitate effective learning experiences for students.

This study reviews student-centric literature on m-learning since 2010 and presents insights on m-learning while applying well-established bibliometric techniques. Consequently, 722 articles published in the past decade were evaluated by identifying key research areas, most influential authors, countries, journals and organisations. Most influential studies based on number of citations were also examined.

Through article co-citation analysis, four clusters representing m-learning literature were identified: concept of m-learning, application of m-learning in education, designing framework for model learning/acceptance and emerging technologies.

As mobile learning (m-learning) has undergone an evolution from being an emerging field to a significant teaching and research tool, it is pertinent to explore and identify the trends of m-learning research.