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The COVID-19 pandemic has caused significant disruptions to global supply chains (SCs), affecting the production, distribution, and transportation of goods and services. To mitigate these disruptions, it is essential to identify the barriers that have impeded the seamless operation of SCs. This study identifies these barriers and assesses their impact on supply chain network (SCN).

To determine the relative importance of different barriers and rank the affected industries, a hybrid approach was employed, combining the best-worst method (BWM) and the technique for order preference by similarity to an ideal solution (TOPSIS). To accommodate the inherent uncertainties associated with the pandemic, a triangular fuzzy TOPSIS was used to represent the linguistic variable ratings provided by decision-makers.

The study found that the airlines and hospitality industry was the most affected by the barriers, accounting for 46% of the total, followed by the healthcare industry (23%), the manufacturing industry (19%), and finally the consumer and retail industry (17%).

This study is limited to the four critical industries and nine identified barriers. Other industries and barriers may have different weights and rankings. Nevertheless, the findings offer valuable insights for decision-makers in SC management, aiding them in mitigating the impact of COVID-19 on their operations and enhancing their resilience against future disruptions.

This study enhances understanding of COVID-19’s impact on SCN and provides a framework for assessing disruptions using multi-criteria decision-making processes. The hybrid approach of BWM and TOPSIS in a fuzzy environment is unique and offers potential applicability in various evaluation contexts.

This paper argues for an increased volume of references to Gabriel Tarde and Georg Simmel in the field of organization sociology. The text emphasizes the importance of these two sociologists in understanding the role of imperfection in organizing and the phenomena of fashion and imitation in contemporary organizations. Tarde’s theory challenged the antinomy between continuity and discontinuity, considering finite entities as cases of infinite processes and stable situations as transitory. Simmel’s theory of fashion explores the democratic and democratizing nature of fashion, which satisfies the demand for social adaptation and differentiation. They both saw fashion as a selection mechanism for organizational forms and managerial practices. Furthermore, referring to Tarde and Simmel can help counter the overemphasis on identity construction and the neglect of alterity in social sciences. The construction of identity often overlooks the inevitability of difference and alterity, which are essential aspects of collective projects. Lastly, this paper discusses Simmel’s concept of the stranger and its relevance in analyzing the experiences of foreigners and their potential advantages as “double strangers” in academia and society. The conclusion is that Tarde and Simmel’s contributions offer valuable insights for understanding the dynamics of management, organizing, and social interactions in contemporary organizations.

Like an online carnival, Web3 aims to turn the internet’s social order upside down. Unlike a carnival, Web3 wants to be more than a weeklong party and morph into a legitimate substitute for the internet’s status quo. Web3’s secret sauce for upheaval is decentralized, permissionless technologies, in particular blockchain technologies. In this exploratory paper, we draw on the concept of institutional isomorphism to muse about Web3’s future and to highlight the inherent tension between striving to be different from Web2 yet wanting to become more legitimate. We argue that technical merits are hardly enough to realize Web3’s high aspirations. Regulatory pressures, rampant uncertainty, and the professional norms of Web3 participants drive the space to adopt many of the organizational structures and practices that it aims to displace. To maintain divergence from Web2, despite isomorphic pressures, we suggest that it is important to increase the overall diversity of people in Web3, to double down on the value of decentralization, and to reaffirm Web3’s commitment to creatively re-imagine various institutional arrangements.

This paper aims to introduce the experience-dominant (Ex-D) logic model, which synthesizes the creation, perceptions and outcomes of Ex-D logic. It is designed to offer valuable insights for strategic managerial applications and future research directions.

Employing a qualitative approach by using eight selected product launch events from reviewed 100 event videos and 55 in-depth interviews with industrial managers to develop an Ex-D logic model, and data were coded and analysed via NVivo.

Results show that the firm’s Ex-D logic is operationalized as the mentalizing of the three types of customer needs (service competence, hedonic excitations and meaning making), the materializing of three types of customer experiences and customer journeys (service experience, hedonic experience and brand experience) and the moderating of three types of customer values (service values, hedonic values and brand values).

This study has implications for adding new insights into existing theory on dominant logic and customer experience management and also offers actionable recommendations for managerial applications.

This study sheds light on the importance of Ex-D logic from a strategic point of view and provides an organic view of the firm. It distinguishes firm perspective from customer perspective, firm experience from customer experience and firm journey from consumer journey.

Effective customer journey design (ECJD) is considered a key variable in customer experience management and an essential source of brand meaning and pro-brand behavior. Although previous research has confirmed its importance for driving brand attitudes and loyalty, the role of consumer-brand identification as a social identity-based influence in this relationship has not yet been discussed. Drawing on construal level and social identity theories, this paper aims to investigate whether effective journeys and the resulting overall journey experience are equally powerful in driving brand loyalty among customers with different levels of consumer-brand identification.

The present article develops and tests a research model using data from the European and US service sectors (N = 1,454) to investigate how and when ECJD affects service brand loyalty.

Across two cultural contexts, four service industries and 33 service brands, the results reveal that ECJD is a crucial driver of service brand loyalty for customers with low consumer-brand identification. Moreover, the findings show that different aspects of journey effectiveness positively impact the valence of customers’ experience related to those journeys – a process that is ultimately decisive for their brand loyalty.

This study is unique because it generates theoretical and practical knowledge by combining the literature streams of customer journey design, customer experience and branding. Furthermore, this work demonstrates that consumer-brand identification is a critical boundary condition to be considered in the relationship between ECJD and brand loyalty in services.

This study aims to analyse how the adoption of Industry 4.0 technologies can help different types of agri-food supply chains introduce and manage innovations in response to the challenges and opportunities that emerged following the COVID-19 pandemic.

A systematic literature review methodology was used to bring together the most relevant contributions from different disciplines and provide comprehensive results on the use of I4.0 technologies in the agri-food industry.

Four technological clusters are identified, which group together the I4.0 technologies based on the applications in the agri-food industry, the objectives and the advantages provided. In addition, three types of agri-food supply chains have been identified and their configuration and dynamics have been studied. Finally, the I4.0 technologies most suited for each type of supply chain have been identified, and suggestions on how to effectively introduce and manage innovations at different levels of the supply chain are provided.

The study highlights how the effective adoption of I4.0 technologies in the agri-food industry depends on the characteristics of the supply chains. Technologies can be used for different purposes and managers should carefully consider the objectives to be achieved and the synergies between technologies and supply chain dynamics.

The 50th anniversary of Fox's Beyond Contract and Man Mismanagement coincides with another vital contribution to the sociology of work from 1974: Braverman's Labor and Monopoly Capital. This article analyses these two scholars' complementary approaches to job design and the extent to which Fox's ideas influenced subsequent labour process thought.

The article's methodological approach is a historiographical reading of Fox and Braverman's thought in the context of their times and later scholarship.

The article demonstrates that despite some noteworthy overlap with Braverman concerning scientific management, Fox's insights were marginal to later iterations of labour process analysis. It delves into the reasons for this relative neglect, providing an understanding of the dynamics at play.

This paper's value lies in its combined industrial relations and labour process historiography. It offers a fresh perspective on Alan Fox's relationship to the latter field of study.

The present study undertakes an extensive review of the causes of service failures in artificial intelligence (AI) technology literature.

A hybrid review has been employed which includes descriptive analysis, and bibliometric analysis with content analysis of the literature approach to synthesizing existing research on a certain topic. The study has followed the SPAR-4-SLR protocol as outlined by Paul et al. (2021). The search period encompasses the progression of service failure in AI from 2001 to 2023.

From identified theories, theoretical implications are derived, and thematic maps direct future research on topics such as data mining, smart factories, and among others. The key themes are being proposed incorporates technological elements, ethical deliberations, and cooperative endeavours.

This research study makes a valuable contribution to understanding and reducing service defects in AI by providing insights that can inform future investigations and practical implementations. Six key future research directions are derived from the thematic and cluster discussions presented in the content analysis.

The choice of crops to produce at a location depends to a large degree on the climate. As the climate changes and food demand evolves, farmers may need to produce a different mix of crops. This study assesses how much cropland may be subject to such upheavals at the global scale, and then focuses on China as a case study to examine how spatial heterogeneity informs different contexts for adaptation within a country.

A global agricultural economic model is linked to a cropland allocation algorithm to generate maps of cropland distribution under historical and future conditions. The mix of crops at each location is examined to determine whether it is likely to experience a major shift.

Two-thirds of rainfed cropland and half of irrigated cropland are likely to experience substantial upheaval of some kind.

This analysis helps establish a global context for the local changes that producers might face under future climate and socioeconomic changes. The scale of the challenge means that the agricultural sector needs to prepare for these widespread and diverse upheavals.

Prior research has proposed a number of scales measuring the customer experience (CX), which tend to conceptualize and operationalize CX differently, raising potential confusion among researchers (e.g. regarding which scale to use). Addressing this issue, this article conducts a systematic review to inventorize key CX scales and assess their theoretical rigor, with a focus on the identification of potential scale-related drawbacks or risks.

Drawing on the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) approach, 104 CX scale development studies published between 1996 and 2024 are identified and analyzed in terms of their respective CX conceptualization, dimensionality, itemization, and adopted theoretical perspective to evaluate their theoretical rigor.

The findings reveal the existence of five main risks associated with the adoption of specific CX or related scales, including (1) defining experience with explicit reference to other extant constructs, (2) failure to accurately and comprehensively capture the experience, (3) experience-based tautology and theoretical indeterminacy, (4) experience-based composite constructs, and (5) lacking robustness of experience-based conceptual models. Based on these observations, recommendations are offered for scholars to improve the rigor of their adopted, refined, or proposed CX or related scales.

This article assesses the benefits and potential risks inherent in the adoption of particular CX scales, equipping researchers with a CX roadmap.