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The purpose of this study is to empirically examine the cause–effect relationships between workplace friendship and knowledge-sharing behavior, from a static perspective. Furthermore, it investigates the bi-directional relationship between the increase in both workplace friendship and knowledge-sharing behavior over same time periods, and also endeavors to identify whether there is a significant negative lagged effect of the increase in both workplace friendship on knowledge-sharing behavior, and vice versa, across time from a dynamic perspective.

The study conducts a three-wave questionnaire survey to test the research model. A latent change score approach was used to test the direct relationship between changes in workplace friendship and changes in knowledge-sharing behavior.

The findings reveal that knowledge-sharing behavior fosters workplace friendship and workplace friendship promotes the emergence of knowledge-sharing behavior. An increase in workplace friendship promotes an increase in knowledge-sharing behavior over same time periods. However, an increase in workplace friendship will lead to a lagged decrease of knowledge-sharing behavior across time, and vice versa.

The time interval in this study is a little short to capture the full changes in workplace friendship. Some important control factors and mediating mechanisms are not included in the research model.

This study guides managers to focus on various motivators to better strengthen workplace friendship and knowledge-sharing behavior and to consider and effectively respond to the negative side of workplace friendship and knowledge-sharing behavior across time.

This study emphasizes the predictivity of one important interaction patterns, namely, knowledge-sharing behavior on friendship at the workplace, from a static perspective. This study also shows the benefits of an increase in workplace friendship for the development of knowledge-sharing behavior in the same time period. Furthermore, the study presents a counterintuitive finding when taking the lag effect into consideration in exploring the relationship between changes both in workplace friendship and knowledge-sharing behavior, and identifies a negative side of both when viewed over longer periods.

This study aims to investigate the multiple influence paths or underlying mechanisms of entrepreneurial leadership (EL) on adaptive innovation from the perspectives of organizational learning and resource management, drawing on complex adaptive system theory.

With a questionnaire survey of 317 senior and middle managers from different firms in China, structural equation modeling was used to test the hypothesized conceptual model, and bootstrapping method was employed to examine the multiple mediating effects.

Results indicate that EL has a significant and positive effect on adaptive innovation. This relationship is partially mediated through exploitative learning, exploratory learning, resource bricolage and boundary-spanning integration, respectively. The impact of EL on adaptive innovation is also sequentially transmitted through exploitative learning and resource bricolage or exploratory learning and boundary-spanning integration.

Adaptive innovation has become a firm competition strategy to cope with dynamic changes in current uncertain environment where EL can play its effectiveness to engage firms in such innovation activities. However, the question of why and how EL drives adaptive innovation has yet to be discussed. This study highlights the innovation effectiveness of EL and the triggering process of adaptive innovation, and contributes to several countermeasures for firms to implement leadership and innovation practices responding to uncertain environment.

In view of the increasing exploration and scattered literature on digital leadership, this study aims to clarify the concept, characteristics and structure of digital leadership, identify its focus research themes and further determine future research directions in this field.

A systematic literature review is adopted in this study using 53 academic documents published in peer-reviewed journals and conference proceedings, which comprehensively combs and analyzes the research achievements.

The key characteristics of digital leadership are vision motivation, digital empowerment, innovation and entrepreneurship, cross-boundary collaboration and dynamic adaptation. Digital strategic thinking, digital insight, digital change and digital talent development are the core dimensions of digital leadership. Besides, there are three main research topics: the application of digital leadership in certain contexts including school education, government governance and business management; the development of digital leadership scale within diverse contexts; and the effectiveness of digital leadership at the organizational, team and individual levels. Digital leadership has a positive role in organizational change and innovation, team effectiveness, and employee creativity and innovation behavior.

This study helps to clarify the connotation of digital leadership and its research progress, status and gaps, which contributes to the thorough knowledge system in the digital leadership area and the promising avenues for future research.

This study aims to excavate the external and internal driving factors of enterprise digital innovation and further condense the function mechanisms and response actions of the innovation process as well as the final innovation outcomes to propose the theoretical framework of enterprise digital innovation with the logic thread of “innovation motivation–innovation process–innovation result”.

Based on the digital background and integrating previous case studies on enterprise digital innovation, this study uses qualitative meta-analysis to explore the motivations of enterprise digital innovation, the function mechanisms and response actions of innovation process as well as the innovation outcomes.

This study finds that digitally transformed enterprises driven by external environmental factors and internal organizational factors follow the logic of adaptive and open innovation, and finally accomplish the digital innovation results of products, services, processes, business models, technology and social responsibility through the response actions of adaptation and interaction mechanisms.

In the digital economy era, digital innovation has become the key strategic choice for enterprise transformation, upgrading and innovation. Why and how enterprises realize digital innovation with the help of emerging digital technology remain to be explored. This study has important theoretical significance and practical value for the digital innovation and transformation of enterprises under the digital background.

This case study was built from secondary data such as news articles and videos. Several drafts of the case study with teaching note were tested in classroom settings and shared at a case writing conference. The case was revised based on feedback from students and roundtable discussions from the conference.

“What’s next: Ever Given after the Suez Canal incident (Evergreen Marine Corporation in, 2022)” explores the situation of the firm Evergreen Marine Corporation, a world-leading cargo shipping company headquartered in Taiwan, and its efforts to deal with challenges stemming from a pandemic and the global supply chain transition. The case provides background on the latest changes in global business environments, the Suez Canal Incident stemming from the grounding of Ever Given and firm-specific information, which would help students to understand the context affecting Evergreen Marine Corporation’s (EMC) strategic decisions. The case enables students to evaluate EMC’s overall position and to analyze the actions that they can take to deal with these challenges in a dynamic global environment.

This case would be appropriate for a course in strategy or international business, especially with the topic of international supply chain management.

Geographical conditions monitoring (GCM) has elicited significant concerns from the Chinese Government and is closely related to the “Digital China” program. This research aims to focus on object-based change detection (OBCD) methods integrating very-high-resolution (VHR) imagery and vector data for GCM.

The main content of this paper is as follows: a multi-resolution segmentation (MRS) algorithm is proposed for obtaining homogeneous and contiguous image objects in two phases; a post-classification comparison (PCC) method based on the nearest neighbor algorithm and an image-object analysis (IOA) technique based on a differential entropy algorithm are used to improve the accuracy of the change detection; and a vector object-based accuracy assessment method is proposed.

Results show that image objects obtained using the MRS algorithm attain the objectives of the “same spectrum within classes” and “different spectrum among classes”. Moreover, the two OBCD methods can detect over 85 per cent of the changed regions. The PCC strategy can obtain the categories of image objects with a high degree of precision. The IOA technique is easy to use and largely automated.

On the basis of the VHR satellite imagery and vector data, the above methods can effectively and accurately provide technical support for GCM implementation.

This paper aims to propose and test a modified technology acceptance model for the social media networks (SMNs) in the luxury hotel context, integrating satisfaction and continued usage intention, using a mixed-method approach. SMNs have revolutionized the way people communicate, search for information and share experiences. The technology acceptance model is the predominant theory for researching technology acceptance; however, there is a gap in identifying and testing context-specific constructs.

This paper uses a mixed-method approach. The researchers conducted 16 interviews and 258 questionnaires with luxury hotel guests. Following the collection of data, interviews and questionnaires were analyzed using thematic and partial least square analysis.

Findings show that accessibility, trust, social influence and perceived benefits influence perceived ease of use and perceived usefulness, which affect attitude and satisfaction and ultimately continued usage intentions. Findings also reveal that enjoyment, although qualitatively proposed, does not influence luxury hotel guests’ SMNs continued usage intention.

This study suggests that hotel managers have to concentrate their marketing efforts in enhancing SMN’s interaction and increasing the number of positive reviews to retain current customers and acquire new ones. Hotels should also develop effective mobile strategies by adopting mobile social network webs and applications, as accessibility becomes more important in today’s marketplace.

Former scholars adopted the approach of proposing external dimensions based on previous research and, thus, did not integrate up-to-date and context-specific variables. Therefore, the present paper uses a new approach by exploring SMN-specific dimensions and testing them in the luxury hotel context.

This chapter differentiates the effect of solicited credit ratings (SCRs) and unsolicited credit ratings (UCRs) on bank leverage decision before and after the credit rating change. We find that banks with UCRs issue less debt relative to equity when the credit rating changes are approaching. Such findings are also prominent when bank credit rating moves from investment grade to speculative grade. After credit rating upgrades (downgrades), banks with unsolicited (solicited) credit ratings are inclined to issue more (less) debt relative to equity than those with solicited (unsolicited) credit ratings. We conclude that SCR and UCR changes lead to significantly different effects on bank leverage decision.

This chapter examines momentum in the corporate bond market using a comprehensive data set that includes bonds with different characteristics and provisions. We find that momentum exists in a wide range of corporate bonds. The momentum effect is more significant for callable bonds and lower-rated bonds. This effect cannot be explained by standard risk factors and liquidity in the bond market. Bond momentum prevails over time and remains strong even after the corporate bond market becomes more transparent and liquid with establishment of TRACE. The high magnitude of momentum profits casts doubt that they can be explained by risk-based theories.

Financial contagion refers to the propagation of shocks that can generate widespread failures. The authors apply a financial contagion model proposed by Elliott, Golub, and Jackson (2014) to a cross-shareholding network of firms in Ecuador. The authors use a novel dataset to study the potential channels for contagion. Although diversification is not high, results reveal enough conditions for a contagion event to occur. However, the low level of integration attenuates the effects of shocks. The authors run simulations affecting a particular firm at the time, and find that two firms coming from the finance and trade industry cause the highest contagion. In addition, when an entire industry receives a shock, trade and manufacturing industries contagion more companies than the rest. Finally, the model can assist policymakers to monitor the market and evaluate the fragility of the network in different scenarios.