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This research aims to ascertain the various operational maturity challenges faced by the online food ordering and delivery enterprises (OFODE), their nature and their interactive relationships. In particular, this paper aims to (a) identify the most relevant operational maturity challenges faced by the OFODE during the COVID-19 lockdown in Oman, (b) explore and establish any likely structural relationship among these challenges and (c) put them into logical clusters.

Experts helped to reduce the 18 initially identified maturity challenges to 13 most pressing ones. Mutual relationships, dominance of interactions and their classifications were explored using fuzzy interpretive structural modeling (FISM) and fuzzy MICMAC analysis.

The study of situation-specific operational maturity challenges convinced the authors to propose a distinct FISM model that depicts the relationship among these challenges. Keeping commissions and fees reasonable emerges as the challenge which all other challenges seemingly culminate into. One of the most important situation-specific challenges (i.e. customer confidence about infection free delivery) emerges as a linkage challenge which aggravates as well as is aggravated by certain challenges.

Besides enriching literature, the proposed model has implications for practitioners particularly when the similar lethal waves are experienced anywhere. The number of respondents, subjective approach, specific context as well as the geographical area coverage are the key limitations.

To the best of the authors’ knowledge, this study is the first known scientific effort which attempts to model the operational maturity challenges faced by the OFODE during COVID-19 lockdown period. The authors used the FISM modeling approach to forge these interrelated challenges into a structural model.

This paper aims to evaluate the effects of banana (Musa) peel and guava (Psidium guajava) leaves extract as mordants on jute–cotton union fabrics dyed with onion skin extract as a natural dye.

The dye was extracted from the outer skin of onions by boiling in water and later concentrated. The bio-mordants were prepared by maceration using methanol and ethanol. The fabrics were pre-mordanted, simultaneously mordanted and post-mordanted with various concentrations according to the weight of the fabric. The dyed and mordanted fabrics were later subjected to measurement of color coordinates, color strength and colorfastness to the washing test. Furthermore, the dyed samples were characterized by Fourier transform infrared, and different chemical bonds were analyzed by X-ray photoelectron spectroscopy analysis.

Significant improvement was obtained in colorfastness and color strength values in various instances using banana peel and guava leaves as bio mordants. Post-mordanted with banana peel provided the best results for wash fastness. Better color strength was achieved by fabric post-mordanted with guava leave extracts.

Sustainable dyeing methods of natural dyes using banana peel and guava leaves as bio mordants were explored on jute–cotton union fabrics. Improvement in colorfastness and color strength for various instances was observed. Thus, this paper provides a promising alternative to metallic salt mordants.

A successful relationship between manufacturer and supplier is vital for the pursuit of mutual benefits, which can be affected by one of the partners’ opportunistic behavior, causing disequilibrium in the existing relationship. The extant research has mainly focused on opportunism as a single phenomenon rather than the detectable strong form and unnoticeable weak form of opportunistic behavior in an exchange relationship that affects the relational outcomes in various ways. This study aims to contribute toward explaining the effect of economic and social forces on a strong and a weak form of opportunism and, in turn, its impact on relational outcomes in manufacturer-supplier relationships.

A sample of 361 manufacturers was drawn randomly using a sampling frame from the western part of India. The authors used covariance-based structural equation modeling to support the proposed model empirically. The authors examined the effect of social capital and transaction cost dimensions on different forms of a supplier’s opportunism.

All three dimensions of social capital have a different impact on both the forms of a supplier’s opportunism in the relationship. The authors found that social capital moderates the relationship between transaction-specific investments on a weak form of opportunism, while social capital is more valuable in curbing opportunism due to the effect of environmental uncertainty and behavioral uncertainty. The authors found that the supplier’s weak form of opportunism than the strong form has a more amplifying effect on governance costs.

This research contributes in three different ways. First, it inquires about the direct effect of transaction cost dimensions and social capital dimensions on a supplier’s multifaceted opportunism (strong form and weak form) in the manufacturer-supplier relationship. Second, it investigates the moderating effect of social capital on the relationship between transaction cost dimensions and forms of supplier opportunism. Third, the weak form of a supplier’s opportunism affects more significantly than the strong form of opportunism on governance costs.

This study aims to explore the impact of firm-generated content (FGC) on viral marketing on multiple social media platforms, and how social ties embedded in different social media platforms affect the motives for social dissemination.

Three studies were conducted to test the model. A quasi-field experiment (Study 1) supported this main effect. Studies 2 and 3 examined the underlying mechanism and enhanced the internal and external validity of the findings.

The findings revealed that warmth (vs competence)-oriented FGC is consistent with the communion (vs agency) mode and elicits greater social dissemination on social media embedded with strong (vs weak) ties.

This study illustrates that FGC that matches communication modes on multiple social media platforms embedded with different social ties will trigger viral marketing and being aware of this match is crucial for policymakers.

This research sheds light on the effects of FGC on viral marketing on multiple social media platforms embedded in different social ties.

With the intensification of market competition, there is a growing demand for weak signal identification and evolutionary analysis for enterprise foresight. For decades, many scholars have conducted relevant research. However, the existing research only cuts in from a single angle and lacks a systematic and comprehensive overview. In this paper, the authors summarize the articles related to weak signal recognition and evolutionary analysis, in an attempt to make contributions to relevant research.

The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. Framework comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.

The research results show that it is necessary to improve the automation level in the process of weak signal recognition and analysis and transfer valuable human resources to the decision-making stage. In addition, it is necessary to coordinate multiple types of data sources, expand research subfields and optimize weak signal recognition and interpretation methods, with a view to expanding weak signal future research, making theoretical and practical contributions to enterprise foresight, and providing reference for the government to establish weak signal technology monitoring, evaluation and early warning mechanisms.

The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. It comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.

Based on commitment system theory and commitment-trust theory, this study aims to reveal the effects of participating teams’ multiple commitments (i.e. synergistic commitments and conflicting commitments) on the performance of open innovation projects through the mediating role of trusted knowledge interaction and vigilant knowledge interaction.

Primary survey data collected from 242 respondents of 47 open innovation projects in the manufacturing industry was used to test eight hypotheses. Correlations between multiple commitments, knowledge interaction and the performance of open innovation projects were investigated.

The findings reveal that synergistic commitments improve the performance of open innovation projects through enhancing trusted knowledge interaction. Synergistic commitments reduce the level of vigilant knowledge interaction, and the performance of open innovation projects follows an inverted U-shaped relationship with vigilant knowledge interaction. Conflicting commitments negatively moderate the effect of synergistic commitments on trusted knowledge interaction and vigilant knowledge interaction.

The authors extend commitment system theory and commitment-trust theory to open innovation project field. The findings bridge the gaps in isolated and static focus in previous commitment literatures and innovation management literatures, and provide practical guidance for how to better manage the dynamic combination of multiple commitments and knowledge interaction among participating teams in open innovation projects.

The purpose of this study is to explore the strength and value-relevance of social capital in an entrepreneurial ecosystem. Entrepreneurial ecosystem (EE) provides a new perspective to explaining the configurations and interactions that shape entrepreneurial outcomes in regions. Research on the nature of interactions in EEs is still an ongoing debate. The authors draw from “organisational fields” studies to critically examine the interactions among actors in a non-transparent EE using the case of the Lagos region.

The methodology is based on a qualitative study of 40 semi-structured interviews with various ecosystem actors in the Lagos region, including financiers, government officials, universities, founders and venture capitalists. Additionally, data from the semi-structured interviews were triangulated with data obtained from a two-day focus group discussion Summit where Lagos’ EE issues were raised. This study analysed both data using thematic analysis.

This study suggests that in a non-transparent EE, four types of interactions are apparent: collaborative, stratified, clustered and unleveraged. Authors argue that in a non-transparent EE, there are blockages and distortions in the flow of resources to entrepreneurs and a higher proportion of entrepreneurs are unable to plug into the ecosystem to extract value for their businesses without a strong social capital.

The authors argue that entrepreneurs require deliberate effort to improve structural and relational social capital to plug into their ecosystem to extract value for their businesses.

The focus on interaction in a non-transparent EE is a novel approach to studying interactions within EEs. In addition, the study is an early attempt to explore entrepreneurial interactions within the Lagos region.

Companies are increasingly designing pro-environmental games to motivate users to implement pro-environmental behaviors (PEBs). However, how different types of virtual interactions affect PEBs in pro-environmental games is not clear. Thus, the authors propose that two types of virtual interaction, interactions with game objects and interactions with other users, can induce platform intimacy and love for nature and that platform intimacy has a direct effect on love for nature. Simultaneously, the authors examine the moderating effect of network externality on the relationship between the two types of virtual interaction and platform intimacy.

The authors, respectively, employed data from 92 students and 574 Chinese mobile users to empirically investigate the research framework.

The findings indicate that participants in interactions with game objects and interactions with other users reported stronger feelings regarding platform intimacy and love for nature, which, in turn, positively influences PEBs. Consumers with stronger perceptions of network externalities were more likely to be affected by the initiation effect of the interaction with game objects.

The authors introduce the notion of love for nature to the pro-environmental behaviors field and discuss the priming effect of two types of interactions on platform intimacy and love for nature. In addition, the authors focus on the important effect of network externality on users' emotions.

Leadership is a social phenomenon. Therefore, it has to be examined according to its social context. The point to be underlined by the social context is the social network in which the leader emerges. Considering the studies, the social network side of leadership is relatively ignored comparing with sociometric studies. In that sense, the aim of this study is to reveal whether there is a relationship between the positions of the military personnel, who are defined as one of the gray-collar working groups in the literature, within the social network mechanisms of which they are members, and their self-leadership perceptions. To answer the question, a self-leadership scale was applied to 69 gray-collar employees working in a military unit and network analyses were performed. According to results, there is a strong, positive and significant relationship between the network mechanism centrality criteria indegree, reach centrality and closeness and the self-leadership perceptions of individuals. In addition, there was no significant relationship between eigenvector centrality and honest brokerage, which are among the network mechanism criteria, and the actors’ self-leadership perceptions. The study has aimed at accenting and adding different perspectives to the leadership studies and gray-collar literature.