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Evaluating existing literature can lead to a better understanding of a scientific journal's state of the art. In this sense, this study aims to analyze the global research evolution of the Revista Europea de Dirección y Economia de la Empresa (REDEE) and the European Journal of Management and Business Economics (EJMBE).

A bibliometric analysis was conducted to acknowledge the most contributing authors, impactful articles, publication trends, keyword analysis, co-occurrence networks and collaboration networks. A total of 454 articles published between 2006 and 2022 were analyzed.

The results suggest that the international strategy set in 2014 has resulted in a steadily growing number of publications and a significant increment in citations. Relationship marketing and the connections between innovation, performance and entrepreneurship are topics of interest for the EJMBE.

Mapping existing EJMBE research through identifying the contributing authors, most impactful articles, publication trends, keyword analysis, co-occurrence networks and collaboration networks is missing to encourage new research projects.

The COVID-19 pandemic deteriorated the economic situation and raised the issue of the quality of banks’ assets and, in particular, the growth of non-performing loans (NPLs). The study approaches a topical subject that is of interest to banks and society at large, as credit availability is likely to be reduced. Over the last 10 years, the Baltic countries’ banking sector has significantly improved its risk management policies and practices, increased capital ratios on its balance sheets, and created risk reserves. The current chapter examines the factors affecting NPLs in the Baltic States based on advanced econometric modelling applied to data extracted from the International Monetary Fund (IMF) and Eurostat. The study results show that credit risk management in the Baltic States has significantly improved compared to the period before the global financial crisis (GFC), the capitalisation of credit institutions is one of the highest in the European Union (EU), and banks are liquid and profitable. Lending recovered from the downturn in the first phase of the pandemic, and credit institutions have taken advantage of the European Central Bank’s (ECB) long-term funding programme ITRMO III to improve the liquidity outlook. Although the credit quality of commercial banks has not deteriorated, as the exposures of credit institutions in the most affected sectors are insignificant and governments have provided fiscal support to businesses and households, some challenges remain. The increase in credit risk is expected due to rising production prices as well as the rebuilding of disrupted supply chains. The findings allow conclusions to be drawn on the necessary actions to mitigate the credit risk of the banking sector.

Some fuzzy definitions such as gray collar workers (GCW) needs to be constructed by academic research in management and organization field. The authors propose a framework for researchers who are interested in studying gray collar workforce after the fourth industrial revolution (I4.0) with network perspectives and methods. Hence, understanding different classes of workforce in the new industrial era needs better understandings of fuzzy concepts and well collected data for decision-making processes. Since literature of management studies are not sufficient to identify and study those new classes, the authors begin with the definition of collar colors in management studies. Following that section, referring to the importance of GCW research, a new literature construction via different types of network analyses is discussed. Three different methods of network concepts are matched with three main social science paradigms. The authors believe that the three perspectives are in the same importance about constructing a literature of future workforce in organizations in particular the GCW who are more exposed in technological developments and organizational changes.

How does context shape the way in which corporations contribute to or impede progress toward sustainable development goals (SDGs)? In this chapter, the author studies how the state as corporate owner and in its broader function in the institutional environment affects companies’ involvement in misbehaving practices related to human rights issues, with a focus on the banking industry. Based on a longitudinal analysis of 178 banks over the cohort 1996–2018, the results show that state-owned banks, as well as those from institutionally weak environments, are more involved in business-related misbehaving practices. Moreover, in a strong institutional environment, state-owned banks are more involved in corporate misbehavior than non-state-owned banks. These results contribute to the literature on corporate misbehavior, focusing on the state’s role in preventing or facilitating banks’ involvement in misbehaving practices. The author concludes by discussing the findings’ implications and providing suggestions for future research.

This chapter examines the dynamic linkages between the returns of Bitcoin, gold, and oil by using daily closing price data between July 17, 2010 and January 8, 2021. This study applies the diagonal BEKK–GARCH model for the purpose of analyzing a volatility spillover of variables in positive or negative ways. The empirical results show that the lagged returns inversely affect their current returns in oil. Based on the return spillovers between Bitcoin and gold, the empirical results indicate a unidirectional return spillover from Bitcoin to gold. Moreover, the authors found a unidirectional return transmission is observed from oil to Bitcoin, implying that oil returns are useful in forecasting Bitcoin returns. These findings are not only valuable for understanding of the interrelationships between the returns of Bitcoin, gold, and oil, but they are also of great interest to portfolio managers, investors, and investment funds that are actively dealing in Bitcoin, gold, and oil.

Goa, a tiny state located along the western coast of India, is rich in cultural heritage and biodiversity. It boasts of a good network of roads and also some rustic experiences. However, the entry of new technology in terms of transport is difficult due to the strong links of people with nature and the desire to retain the natural setting for future generations. Thus, the devices or machines must also be resilient and sustainable in the long run. Good governance and infrastructural support can work wonders in the long run if this is supported.

Conversely, smart mobilities must be powered up through hydro, wind, solar, hydrogen, coal and lithium batteries. While the former four are ideal as they are renewable, the latter, which is coal-generated energy and lithium batteries, can deter nature as they have a large carbon footprint. While hydrogen if created through green systems will be more feasible and can be more sustainable to run electric vehicles (EVs). To top it up, the start-up India mission also has played a significant role in helping smart mobilities businesses to thrive in India. Therefore, the need to adopt smart mobilities dependent on green energy is important for this sector to succeed. This chapter also enlightens the reader through a case study about how BLive, an Indian EV start-up introduced smart mobilities in Goa, their mode of implementation, operations and challenges faced.

Radical changes in consumer habits induced by the coronavirus disease (COVID-19) pandemic suggest that the usual demand forecasting techniques based on historical series are questionable. This is particularly true for hospitality demand, which has been dramatically affected by the pandemic. Accordingly, we investigate the suitability of tourists’ activity on Twitter as a predictor of hospitality demand in the Way of Saint James – an important pilgrimage tourism destination.

This study compares the predictive performance of the seasonal autoregressive integrated moving average (SARIMA) time-series model with that of the SARIMA with an exogenous variables (SARIMAX) model to forecast hotel tourism demand. For this, 110,456 tweets posted on Twitter between January 2018 and September 2022 are used as exogenous variables.

The results confirm that the predictions of traditional time-series models for tourist demand can be significantly improved by including tourist activity on Twitter. Twitter data could be an effective tool for improving the forecasting accuracy of tourism demand in real-time, which has relevant implications for tourism management. This study also provides a better understanding of tourists’ digital footprints in pilgrimage tourism.

This study contributes to the scarce literature on the digitalisation of pilgrimage tourism and forecasting hotel demand using a new methodological framework based on Twitter user-generated content. This can enable hospitality industry practitioners to convert social media data into relevant information for hospitality management.

2019冠狀病毒病引致消費者習慣有根本的改變; 這些改變顯示，根據歷史序列而運作的慣常需求預測技巧未必是正確的。這不確性尤以受到大流行極大影響的酒店服務需求為甚。因此，我們擬探討、若把在推特網站上的旅遊活動視為聖雅各之路 (一個重要的朝聖旅遊聖地) 酒店服務需求的預測器，這會否是合適的呢?

本研究比較 SARIMA 時間序列模型與附有外生變數 (SARIMAX)模型兩者在預測旅遊及酒店服務需求方面的表現。為此，研究人員收集在推特網站上發佈的資訊，作為外生變數進行研究。這個樣本涵蓋於2018年1月至2022年9月期間110,456個發佈資訊。

研究結果確認了傳統的時間序列模型，若涵蓋推特網站上的旅遊活動，則其對旅遊需求方面的預測會得到顯著的改善。推特網站的數據，就改善預測實時旅遊需求的準確度，或許可成為有效的工具; 而這發現對旅遊管理會有一定的意義。本研究亦讓我們進一步瞭解朝聖旅遊方面旅客的數碼足跡。

現存文獻甚少探討朝聖旅遊的數字化，而本研究不但在這方面充實了有關的文獻，還使用了一個根據推特網站上使用者原創內容嶄新的方法框架，進行分析和探討。這會幫助酒店從業人員把社交媒體數據轉變為可供酒店管理之用的合宜資訊。

This study aims to analyse how consumers' perceptions of justice in a service recovery scenario vary, not only due to the company's actions but also due to the comparisons they make with the experiences of other consumers.

Based on justice theory, social comparison theory and referent cognitions theory, this study describes an eight-scenario experiment with better or worse interactional, procedural and distributive justice (better/worse interactional justice given to other consumers) × 2 (better/worse procedural justice given to other consumers) × 2 (better/worse distributive justice given to other consumers).

First, consumers' perceptions of interactional, procedural and distributive justice vary based on the comparisons they draw with other consumers' experiences. Second, the results confirmed that interactional justice has a moderating effect on procedural justice, whereas procedural justice does not significantly moderate distributive justice.

First, based on justice theory, social comparison theory and referent cognitions theory, we focus on the influence of the treatment received by other consumers on the consumer's perceived justice in the same service recovery situation. Second, it is proposed that the three justice dimensions follow a defined sequence through the service recovery phases. Third, to the best of the authors' knowledge, this study is the first to propose a multistage model in which some justice dimensions influence other justice dimensions.

: 本研究擬探討在服務補救的處境裡, 消費者對公平的看法不但會受公司的行動所影響, 同時也會因他們與其他消費者的經驗作比較而有所改變。

: 本研究根據正義理論、社會比較理論和參照認知理論, 描述一個涵蓋八個處境的實驗, 實驗包含更好的或更差的互動的、程序上的和分配性的公平 (給予其他消費者更好的/更差的互動公平) × 2(給予其他消費者更好的/更差的程序上的公平) × 2 (給予其他消費者更好的/更差的分配性的公平)。

: 研究結果顯示, 消費者對互動的、程序上的和分配性公平的看法, 是會根據他們與其他消費者的體驗所作的比較而有所改變; 研究結果亦確認了互動的公平對程序上的公平會有調節作用, 而程序上的公平對分配性的公平則沒有顯著的調節作用。

: 首先, 我們根據正義理論、社會比較理論和參照認知理論, 把研究焦點放在於相同的服務補救情景中, 其他消費者受到的待遇, 如何影響消費者自身的認知公平; 另外, 我們建議, 這三個公平維度, 在各個服務補救階段裡, 均會跟隨一個清晰的次序。最後, 就研究人員所知, 本研究為首個提出一個公平維度互為影響的多階段模型的研究。

This paper explores flexible working practices (FWPs) and takes a critical view that argues a need to consider not only access to digital technological resources but also the vast array of factors that constrain one’s ability to use technology for its intended benefits, as constituting the digital divide post-COVID-19 lockdown.

Using a critical evaluation of the extant literature, we engage in a conceptual undertaking to develop theoretical propositions that form the basis for future empirical undertakings. To theoretically ground the arguments raised, we deploy the ontological lens of actor-network theory to illuminate the socio-technical dimensions of the digital divide in light of FWPs.

Since the COVID-19 pandemic, the need to adopt socially distanced work practices has become a reality for many organisations. We find that the adoption of FWPs, enabled by digital technologies, simultaneously signals hidden inequalities. We also develop a conceptual framework which depicts user responses in different technology environments that can either be limiting or enabling for individuals’ work productivity.

With regards to the digital divide, attention has often focused on access to digital technologies, as the term “digital divide” portrays. The implication is that the array of factors and resources that individuals are heterogeneously networked to, which also constitute the digital divide, is often taken for granted. We take a different ontological view that brings to the fore other factors at play within an individual’s network of relations.

本文擬探索彈性工作安排,並以批判性的觀點、去論證當我們探討2019冠狀病毒病封鎖解除後的數字鴻溝究竟是由什麼組成時,我們必須考慮數字技術資源的使用權限,以及關注各個有關的因素,因這些因素限制了我們從應用技術獲得預期效益的能力。

我們對現存文獻作批判性的評價,藉此參與一項概念性的工作,以便能建立可以成為將來實證性工作基礎的理論命題;為使提出的論點能得到理論上的依據,我們使用行動者網絡理論的本體論鏡頭,去闡明鑒於彈性工作安排的數字鴻溝的各個社會技術維度。

由於2019冠狀病毒病大爆發的關係,許多機構和組織都因實際情況而需採用保持社交距離的工作安排。我們發現、當我們採用有賴數字技術的發展而成行的彈性工作安排時,我們同時也會使不為人知的不平等狀況浮現出來;我們也注意到、不同的技術環境會限制個人的工作生產力,又或相反地助其建立工作生產力;就此,我們建立了一個可以描繪就這些不同的技術環境、用戶會如何回應的概念框架。

就數字鴻溝而言,人們的關注總放在數字技術使用權限的差異上,就如數字鴻溝這個術語所塑造的形象一樣。這種關注可能帶來的影響是即使有不同的因素和資源、即使個人會以各種形式與不同的因素和資源聯繫起來,而這些因素和資源構成了數字鴻溝,人們卻把這些因素和資源視為理所當然。我們採用不同的本體論觀點,希望藉此使個人關係網絡內起著作用的其它因素能突顯出來、免被忽視。

Corporate social responsibility (CSR) activities of companies have been reported to generate favorable consumer attitudes towards the business, which in turn, encourages positive consumer behavior. But the application of this conclusion in the mobile commerce domain remains limited. Drawing on social exchange theory, the authors examined the mediating role of trusting beliefs and satisfaction in the relationship between CSR and purchase intention in mobile commerce.

Using nonprobability convenience sampling, the authors administered a cross-sectional survey with 314 students from Keimyung University in Korea. Initially, SPSS-Amos was utilized to run confirmatory factor analysis. The proposed hypotheses were tested using structural equation modeling.

This study showed that two components of trusting beliefs, namely benevolence and competence, had a positive effect on the association between CSR and the purchase intention on mobile shopping applications. This relationship was partially mediated by trusting beliefs. Further findings demonstrated that the impact of CSR on purchase intention was also partially mediated by satisfaction.

The authors' contribution includes extending the social exchange theory to the mobile commerce setting by establishing mechanisms that explain the ways CSR influences purchase intention in the mobile commerce framework. The authors integrated trusting beliefs and satisfaction in the CRS chain link with purchase intention. Additionally, the authors examined the individual effects of three trusting beliefs components. Based on the results, the authors proposed suggestions for the mobile shopping application business on the methods they can implement to boost the outcomes of their CSR activities.

:過去的研究結果、均顯示公司的企業社會責任行為會產生對公司良好的消費者態度,而這消費者態度,則進而促進積極的消費行為; 唯這結論的應用、在移動商務的領域內仍是有限的。我們利用社會交換理論、探討了信任的信念和滿意在移動商務裡的企業社會責任與購買意圖之間的關係上的中介角色。

:透過使用非機率便利抽樣的研究法,我們對來自南韓啟明大學314名學生進行了一個橫向調查研究。最初,我們使用結構方程模型 (SPSS-AMOS) 來進行驗證性因素分析。又用結構方程模型 (SEM) 來為提出的假設進行測試。

:研究結果顯示,信任的信念的兩個組成部分,即仁愛和能力,均於移動購物應用上對企業社會責任與購買意圖之間的關聯有積極正面的影響。這關聯部分上為信任的信念所調節。研究結果更表明了企業社會責任對購買意圖的影響、亦是部分上為滿意所調節的。

:本研究的貢獻、包括藉著建立一個可解釋企業社會責任、如何在移動商務的框架裡影響購買意圖的機制,去把社會交換理論擴展至移動商務的環境。我們在企業社會責任與購買意圖一連串的關聯裡、融入了信任的信念和滿意。而且,我們探討了三個信任的信念的組成部分各自所帶來的影響。我們根據研究的結果,為移動購物應用之商業機構,建議有效的方法,去增強其企業社會責任行為的效果。