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This exploratory study uses a punctuated equilibrium paradigm (PEP) framework to examine the impact and adaptation of an entrepreneurial ecosystem (EE) to the COVID-19 pandemic at the organizational and ecosystem level. The aim is to provide guidance to EEs on ways to adapt to future external shocks.

As this study is exploratory in nature, the authors use a sequential mixed method whereby a qualitative method is used first to identify emergent themes from in-depth interviews with EE members, followed by a quantitative method (survey) based on those themes across a broader cross section of EE members.

Entrepreneurial ecosystem’s geographical advantages have declined during the pandemic as EE firms adapted to this external shock by developing more digitally distributed organizations.

Based on the findings, the authors propose an emerging model of EEs that extends the traditional clustering model focused on geography to account for more digitally distributed entrepreneurial clusters. However, the results, based on an in-depth study of one ecosystem, may not be fully generalizable to all EEs.

Given the widespread pandemic impact, the findings may be instructive to EEs and organizations in EEs that aim to become more resilient in the face of potential future external shocks.

As part of the qualitative interview process the interviewees were asked what they would change in San Francisco Bay Area if they had a magic wand right now. They discussed a variety of inspiring ideas, but the most frequently mentioned was their wish to change the focus of business to solve societal problems with a global citizen mindset (e.g. recycling energy, climate change, income inequality, access to education and funding, inequity, wealth gaps, housing crisis and homelessness) to make the world a better place. Additionally, the pandemic exposed some inequality in work conditions across demographics. As firms reorganize to increase resiliency, attention to these issues should be addressed.

This study is unique in applying the PEP to EEs to deepen our understanding about how an EE evolves during periods of sudden external shocks.

The main purpose of this paper is to explore innovative ideas for a sustainable fashion supply chain in the future by focusing on investigating the impacts of COVID-19 on the fashion supply chain and review sustainable supply chain.

A systematic literature review (SLR) and a case study have been undertaken to explore the innovative ideas for a sustainable fashion supply chain developed after the COVID-19 outbreak. Having conducted a comprehensive literature search in electronic databases Google Scholar, Emerald Insight, ScienceDirect and ProQuest, 69 articles were selected and reviewed. A case of the Kering Group was used to explain the results.

This paper highlighted the basic concepts of a sustainable supply chain, reviewed the 10 principles of the United Nation Global Compact and their connections to promoting supply chain sustainability, as well as the three components of a sustainable supply chain: green supply chain, transparent supply chain and circular supply chain. Based on the results of a SLR and a real case of Kering Group, the paper identified 12 innovative ideas for a sustainable fashion supply chain: (1) biodegradable and natural materials, (2) textile recycling, (3) nearshoring, (4) artificial intelligence (AI), (5) robot, (6) 3D printing, (7) Internet of Things, (8) blockchain, (9) reverse resources; (10) bio-packaging, (11) augmented reality (AR) and virtual reality (VR) and (12) digital runway.

The epidemiological situations of the COVID-19 pandemic and the corresponding innovative ideas for a sustainable supply chain may change over time. While this paper provides a comprehensive literature review and case study, further research is needed to evaluate the effectiveness of current efforts in the development of a sustainable fashion supply chain through collecting both quantitative and qualitative data.

Embracing the issues from the COVID-19 pandemic, the results of this study are further explained by the case of Kering Group in the fashion industry. The managerial implications of the results and discussion are the need to adopt innovative ideas for a more sustainable fashion supply chain in the future. The success of sustainable supply chains work by leveraging the best available technologies such as robot, 3D printing, AR and VR, setting consistent standards for sustainability such as Environmental Profit and Loss and Kering & Textile Exchange and communicating with all parties throughout the supply chain, such as blockchain and AI. Investment in developing technology and innovative ideas will be the key of future to supply chain sustainability. Nonetheless, the specific approach used by each organization must be tailored to its characteristics, goals and circumstances.

Bringing upon unprecedented challenges, the pandemic has shown both companies and consumers just how fragile our planet is. Thus, to protect our planet in the long run, we need to not only make businesses more sustainable but also live more eco-friendly lifestyles.

To the best of the authors’ knowledge, this is the first work that conducts a systemic review of the relevant academic journal articles addressed to the managerial audience on sustainable (fashion) supply chain. In addition, this paper also adds some consideration to this gap by exploring the innovative ideas for a sustainable fashion supply chain in the future and using a case to illustrate how these ideas can be put in a real-life context. This paper discusses the impact of COVID-19 on different stages of the supply chain and gives innovative ideas that can be used in response to the changing epidemiological situations of the pandemic.

This paper aims to identify the effect of social structure variables on the purchase of virtual goods. Using field data, it also tests whether their effects on a social networking service are dynamic.

To achieve the research objectives, the authors have applied the random effects panel Tobit model with actual time-series corporate data to explain a link between network structure factors and actual behavior on social networking services.

The authors have found that various network structure variables such as in-degree, in-closeness centrality, out-closeness centrality and clustering coefficients are significant predictors of virtual item sales; while the constraint is marginally significant, out-degree is not significant. Furthermore, these variables are time-varying, and the dynamic model performs better in a model fit than the static one.

The findings will help social networking service (SNS) operators realize the importance of understanding network structure variables and personal motivations or the behavior of consumers.

This study provides implications in that it uses various and dynamic network structure variables with panel data.

This paper aims to critically reflect the current specialist discourse on experiential approaches to higher education for sustainable development (HESD). Limitations to the current discourse are identified, and as a result, an alternative approach to the study of experiential education (EE) within HESD is suggested.

Three research questions are addressed by analysing the literature on EE and experiential learning (EL) within HESD in specialist academic journals.

There is a consensus among authors regarding the appropriateness of experiential approaches to HESD. However, limitations to the current discourse suggest the need for an alternative approach to studying EE within HESD. Therefore, this paper proposes the application of the learning landscape metaphor to take a more student-centred and holistic perspective.

The learning landscape metaphor has previously not been applied to EE within HESD. This alternative conceptualisation foregrounds student perspectives to experiential initiatives within HESD. The holistic approach aims to understand the myriad influences on students learning, while allowing examination of how experiential approaches relate to other educational approaches within HESD.

The purpose of this study is to explore the use of Internet of Things (IoT) in hospitality and examine its relationship with Big Data. Drawing upon theoretical and practical considerations, it lays a foundation for its adoption in practice and future research.

This paper uses a conceptual approach. It demonstrates the use of IoT and its impact on Big Data in hospitality through exemplars. The paper further explores the convergence of IoT, Big Data and hospitality in the context of the literature, value attributes and vendor offerings. Theoretical models from information systems and business are used to support the concepts proposed.

The study compiles and contextualizes the applications of IoT in hospitality by applying an input–process–output model, demonstrating the link to Big Data. The resulting value dimensions are represented by the IoT–Big Data triple impact intensity model.

An outlook toward the future trajectory of IoT adoption is provided by proposing to extend the prevalent social, mobile, analytics and cloud framework with an IoT component.

Practical implications of the use of IoT and Big Data in hospitality on information technology infrastructure, business models, security and standardization highlight the scope for further empirical research.

By synthesizing IoT applications in hospitality and by bringing to light their relationship with Big Data, the study demonstrates how IoT, Big Data and hospitality converge – a synthesis that has thus far been largely unexplored. This study lays the groundwork for increased deployment of IoT and Big Data in hospitality and future academic research in this area.

本论文开发了酒店管理中的物联网（IoT）的使用, 并且检验了其与大数据的关系。根据其理论和实际考虑, 这方面的科技缺乏应用理论基础和未来研究方向。

本论文采用理论讲述的方式, 通过例子来阐述IoT的应用和大数据对于酒店管理的影响。本论文还拓展了IoT、大数据、以及酒店管理在文献范畴、价值属性、以及供应商考量中的认识。本论文借鉴了信息系统和商业管理中的理论模型以支撑提出的理论概念。

本论文综合审视了IoT在酒店管理中的应用, 提出了一个输入-处理-输出的模型, 指出了其与大数据的关联。其相关价值维度通过IoT-大数据三重影响强度模型来显示。

本论文提出了对IoT使用的未来展望, 拓展了著名的SMAC模型（social, mobile, analytics, cloud）, 加入了IoT成分。

本论文对IoT和大数据在酒店IT架构、商业模型、安保和标准化等方面的使用, 强调了其未来应用研究的方向。

本论文通过酒店管理中的IoT应用综述, 以及其与大数据分析的关联, 展示了IoT、大数据、酒店覆盖等概念如何融合, 这方面的研究还未真正被开发。本论文对于酒店领域中的IoT和大数据应用以及相关领域的未来研究, 有着奠基作用。

To address the critical sustainability challenges currently faced by China, manufacturers in this country have committed to improve their environmental performance. To support this commitment, evidence suggests that Chinese manufacturers have mainly turned to the implementation of environmental management approaches such as ISO 14001, cleaner production, green supply chain management, circular economy and green lean. However, the adoption of other approaches such as total quality environmental management (TQEM) by Chinese manufacturers is less clear. The purpose of this paper is to fill this gap by providing light into fundamental issues regarding the implementation of TQEM in the manufacturing sector of China.

A survey-based exploratory study was conducted based on 119 Chinese manufacturing companies, and the data obtained were analysed using a combination of descriptive and inferential statistics.

The results revealed that in general, there is less awareness of TQEM in the Chinese manufacturing sector than other environmental and quality/operations improvement approaches such as green supply chain management, reverse logistics, ISO 9000, Six Sigma and lean Six Sigma. Thus, its degree of implementation is also lower than these approaches as well as ISO 14001. The results also indicate that although a company’s size is not associated with the implementation of TQEM, it is mainly large organisations and those that have adopted TQM those which will be mainly aware and have implemented TQEM. The study also reveals the drivers, results and challenges of TQEM implementation.

The paper extends the currently limited knowledge on TQEM, and its results are beneficial for managers who aim at effectively adopting TQEM to simultaneously improve the environmental, operational and financial performance of their organisations. The paper can also motivate organisations not currently embarked on the “green wagon” to contemplate the benefits that implementing TQEM, or any other environmental management approach, may bring to their operations and business.

The present study seeks to trace the unionization process of a global top 10 video game company (Company N) in which workers formed the first enterprise union in South Korea's game sector. Drawing upon the analytical framework of Kelly's (1998) mobilization theory, the authors investigated what motivated workers to form a union and what factors facilitated unionization.

This study used a qualitative research method on a single case study basis. The authors collected 41 in-depth interviews with game developers, full-time union staff from the case company and union leaders in their affiliated union, as well as game journalists, labour attorneys, and human resource professionals in the video game industry. The authors had their original data supplemented and triangulated by archival data including union letters and other documents and media reports. They analysed the data using computer-assisted qualitative data analysis software (CAQDAS).

There are three key findings. First, in the game sector, a high barrier against unionization exists, arising from industry characteristics such as a project-based work system, high mobility, reputation-based hiring, meritocracy, and a continuous influx of game-loving young developers. Hence, although the time was ripe for worker activism, latent grievances failed to be converted into real collective mobilization, resulting in non-organized workplaces for the past decades. Second, the mandatory labour-management negotiations arising from a legal change acted as a key catalyst for unionization at Company N. The newly elected three employee representatives came to identify and develop their own collective interests through the direct experience of negotiations, which greatly augmented their negative emotions and improved their legal consciousness. These three representatives could identify numerous deep-rooted problems, attribute these problems to their employer, and realize that they are ordinary salaried workers different from their employer. Going through the three-month negotiation and post-negotiation period, a set of ordinary game developers transformed themselves into natural union leaders who started a union in the game industry, which was traditionally non-organized. Third, various layers of external factors, such as a sister union, the upper umbrella union, the changed socio-political atmosphere following the candlelight protests for presidential impeachment, and the improved union image facilitated the unionization at Company N.

This study offers practical implications to governments, union activists, and employers in the game sector and more broadly in the tech industry, where labour-management conflicts are escalating across the globe.

Our study of a rare unionization event in the difficult game sector offers a nuanced understanding of mobilization and its process. Theoretically, by introducing the dynamic process of natural leader emergence and spontaneous union formation in a young industry where neither pre-existing leadership nor extant union influence exists, this study suggests that the mobilization process is more complex and variegated than suggested by Kelly's study and subsequent studies. Therefore, this study can advance the current discussion of mobilization mechanisms in the field of industrial relations. Our study also contributes to current research by introducing collective mobilization in a new context, i.e. the young, dynamic game industry in a non-Western country, which is a context that has been under-studied thus far.

The use of e-learning in the workplace is increasing. This increase was mainly because of technological advancement within corporations, but the COVID-19 pandemic has further reinforced this trend. User acceptance is central to e-learning’s success; hence, this study aims to investigate workplace e-learning acceptance in Indonesia.

Using the unified theory of acceptance and use of technology (UTAUT) model, this study analyzed survey response data from employees in seven Indonesian industries that use e-learning for their corporate learning programs. The study combined partial least squares structural equation modeling (PLS-SEM) analysis with fuzzy-set qualitative comparative analysis (fsQCA) to gain symmetrical and asymmetrical perspectives.

Various combinations of UTAUT model-based antecedents in pursuing workplace e-learning acceptance were supported by the PLS-SEM and fsQCA results. Both analyses point to performance expectancy as the strongest predictor of intention to use e-learning.

The study offers insight into the causal relationship between constructs in the UTAUT model and uncovers paths and combinations of constructs that lead to e-learning intention.

This study highlights complex causalities between constructs.

While few would disagree that high data quality is a precondition for the efficiency of a company, this remains an area to which many companies do not give adequate attention. Thus, this paper aims to identify which are the most important barriers preventing companies from achieving high data quality. By improving awareness of barriers on which to concentrate, companies are put in a better position to achieve high quality data.

First, a literature review of data quality and data quality barriers is carried out. Based on this literature review, the paper identifies a set of overall barriers to ensuring high data quality. The significance of these barriers is investigated by a questionnaire study, which includes responses from 90 Danish companies. Because of the fundamental difference between master data and transaction data, the questionnaire is limited to focusing only on master data.

The results of the survey indicate that a lack of delegation of responsibilities for maintaining master data is the single aspect which has the largest impact on master data quality. Also, the survey shows that the vast majority of the companies believe that poor master data quality does have significant negative effects.

The contributions of this paper represent a step towards an improved understanding of how to increase the level of master data quality in companies. This knowledge may have a positive impact on the data quality in companies. However, since the study presented in this paper appears to be the first of its kind, the conclusions drawn need further investigation by other research studies in the future.

This paper identifies the main barriers for ensuring high master data quality and investigates which of these factors are the most important. By focusing on these barriers, companies will have better chances of increasing their data quality.

The study presented in this paper appears to be the first of its kind, and it represents an important step towards understanding better why companies find it difficult to achieve satisfactory data quality levels.

This article deals with Virtual Singapores, or Singapore’s efforts to clone itself through industrial parks in Asia’s developing countries. Through these cloned enclaves, tiny Singapore aims to control change and restructuring in Asian economic environments, and thereby its own destiny. The first section elaborates on Singapore’s regionalisation drive and Virtual Singapores. The ensuing section identifies the strategic goals for internationalizing Singapore Incorporated, the alliance of stakeholders that guides governmental policy in Singapore. The final section discusses the implications of the Virtual Singapores for competitive environments, as well as for organizational and structural changes in the Asia Pacific.