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Organizational resilience is a prerequisite to ensure preparedness and quick recovery from disruptions for an organization. However, there is scant literature that examines antecedents that are associated with resilience. This study aims to evaluate antecedents of organizational resilience considering three factors: sustainable supply chain management (SSCM), business model adaptation (BMA) and digitalization.

This study considers the dynamic capability view as a theoretical lens to formulate the hypotheses between the mentioned constructs. The authors test the hypotheses based on the data collected from 259 manufacturing companies. The authors consider structural equation modeling and mediation analysis to analyze the proposed hypotheses.

The results of structural equation modeling suggest that there is a positive association between SSCM and organizational resilience. Furthermore, the results suggest that digitalizing the business processes and deploying an adaptable business model can help organizations enhance their resilience levels.

This study contributes to the literature by identifying dynamic capabilities that can influence organizational resilience and extending the relevance of BMA and digitalization in the context of sustainability and resilience. Furthermore, this research informs managers on effective pathways for managing future disruptions.

The purpose of this study is to critically explore the linkage between adolescent work, parent–child relationships and offspring career choice outcomes in a family business context. It examines the aforementioned in light of the stay/go decision faced by adolescent family members.

Findings are derived from semi-structured interviews with 15 individuals from five Italian families operating family catering businesses in Yorkshire (UK). The approach represents a sample spanning four generations, designed to capture data from individuals who had experienced adolescent work at the family business.

The findings offer evidence that the “familiarity” of family business impacts on offspring career choices, providing a safety net or a trap which can impede exit decisions. Returning after periods of study leave that represent the transition from adolescence to adulthood, offspring continue to use the family business as a base from which to explore their career options. Alternatively, when parent–child relationships break down, family business escape strategies assume priority for offspring.

The study focussed exclusively on migrant Italian families within the catering sector. The sample included different generational representations among the five families. It lays the ground for future research of a similar nature among other family business ethnicities and across other economic sectors.

This paper contributes to understanding offspring career choice outcomes in a family business context. The empirical evidence suggests that parent–child relationships are instrumental to understanding the stay/go decision as well as previous stages of the socialisation process of embedding in the family business.

The purpose of this paper is to investigate the impact of three predictors (emotional intelligence, perceived supervisor support and work–life balance) on employee engagement.

The employee engagement and its predictor variables considered have been assessed by a survey using a structured questionnaire. Data were collected for 628 government school teachers of Punjab state of India. SEM using SmartPLS software was used to estimate the relationship between employee engagement and its predictors (emotional intelligence, perceived supervisor support and work–life balance).

The results reveal that the three predictors (emotional intelligence, perceived supervisor support and work–life balance) have a significant positive impact on employee engagement of the government school teachers.

School authorities need to draft teacher-friendly policies so that teachers can stay deeply engrossed in their work and can handle work and family demands. Engaged teachers brim with positive energy, thereby energetically and vigorously preoccupying themselves in their work, leaving no time and space for negative thoughts.

The influence of emotional intelligence, perceived supervisor support and work–life balance on employee engagement of government school teachers is unprecedented. The study also tested the model in a holistic manner. Since the study is based on an Indian sample, it also adds to growing literature on employee engagement in nonwestern countries. The results are of great value to government authorities, school managements, HR managers and policymakers who are seeking to develop practices that enhance employee engagement at workplaces.

The ideology of this article is to study the performance concerns of SDN Controllers, with the help of developed SRGM and thereby obtain its optimal testing duration. The effect of undetected uncertainty in the parameter values have also been catered in the proposal.

These uncertainties in the parameter values are studied as the risk of not meeting desired set of requirements, whose removal causes additional cost. Considering these two constructs as attributes of MAUT, the controller's optimal testing duration is obtained.

The article focuses towards obtaining the optimal duration for which the SDN Controllers must be tested. It was observed that the inculcation of risk-attribute has provided the higher utility value as compared to any other existing scenarios.

Plenty of SRGM have been proposed in the literature which talks about the testing stop time determination problems. But, none of them have considered the impact of risk of not meeting the requirements (reliability) along with cost to obtain its testing stop time. Further, validation of the proposed model in presented with the help of two releases versions of SDN controller platform, ONOS, entitled as “Kingfisher” and “Loon” and has acquired promising results.

Despite the efforts of governments and firms, consumer resistance toward digital innovations in the retail finance space continues to manifest rather visibly. Yet, the causes of consumer resistance toward innovations such as online procurement of financial products continue to remain under-explored. The present study attempts to address this gap by examining barriers that may constitute Indian consumers' resistance to buying financial products marketed digitally, using insurance as an exemplar. Precisely, the study measures five classic innovation resistance theory (IRT) barriers constituting consumers' resistance toward procuring digitally marketed insurance and examines the influence of consumers' demographic characteristics, measured through age and gender.

The conceptual model, resting on the theoretical proposition of IRT, was tested using data collected from 420 smartphone users. Given that, the data did not satisfy the multivariate assumptions of normality, homoscedasticity and linearity, artificial neural network approach was used for analysis. The analysis served as the basis for determining the relative importance of the five barriers in influencing consumer resistance.

The results indicated that the image barrier was the most influential barrier impacting consumer resistance, followed by usage, tradition, risk and value barriers. Moreover, as revealed by the values of correlations, the direction of influence was positive. Notably, the relationship of all barriers except tradition with consumer resistance was found to be nonlinear.

The study makes a novel contribution in two ways – one by extending IRT to a new area, i.e., resistance to buying financial products online, thereby further enhancing its applicability, and the other by exploring consumer resistance to e-procurement of life and nonlife insurance, which to the best of the authors' knowledge, has not been examined so far despite the established exigency.

As of 2022, the scope of the engagement and interest of debt capital providers in ESG reporting is mainly untapped. However, a vast amount of literature has produced conflicting findings about the importance of debt capital (leverage) as a factor in sustainability reporting (SR). This is the first meta-analysis reconciling the mixed results of 85 single country studies containing 131 effect sizes across 24,482 firms conducted over past three decades (1999–2022) investigating the influence of leverage on SR. The study emphasizes the significance of contextualizing research by identifying the macro-environmental elements modifying debt's impact on SR, through the use of the institutional theory. Eleven country variables were tested on the collected dataset, spread across 36 countries.

Meta-analysis technique for aggregation of existing extant empirical work. Continuous and categorical variable-based moderator analysis to demystify the influence of country characteristics affecting the leverage–SR relationship.

Results show positive significant impact of debt capital providers on SR. Country's level of development, GDP, extent of capital constraints in a country, financial sector development within a nation, country governance factors and corruption levels, country's culture, number of sustainability reporting instruments operational in a country and geographical location proved to be significant moderators.

The study details relevant meaningful research gaps, worthy of uptake by researchers to produce targeted research.

Governments must increasingly go beyond their mandated disclosure role and acknowledge the important institutional factors that have contributed to the expansion of ESG reporting through the creation of nation-specific tools, incentive structures and disclosure-encouraging regulations. To secure a steady flow of funding and prevent negative effects on company value and cost of capital in the midst of prolonged global economic upheaval, businesses must address the information requirements of lenders. The limited total effect size emphasizes the necessity for debt providers to step up their ESG activism and exercise their maximum power and potential in stimulating extensive SR firm-level practices.

The present study is the first meta-analysis reconciling the mixed results of 85 single-country studies containing 131 effect sizes across 24,482 firms conducted over the past three decades (1999–2022) investigating the influence of leverage on SR and demystifying the macro-environmental factors affecting the leverage–SR association.

Rural communities around the world are searching for solutions to upkeep, restore and improve local services that are deteriorating. They are exploring the potential of a digital transition along with the opportunities and threats created by new patterns of mobility and closer links with urban areas. The expansion of information and communication technologies (ICT)-enhanced applications enables rural communities to improve their quality of life. The concept of smart village is primarily about how rural communities make the best use of both ICT and social innovation by responding to the ongoing and emerging challenges. Therefore, the aim of this paper is to investigate strategies for adoption of smart villages along with the challenges faced.

A quantitative research methodology was adopted in this research. A web-based questionnaire survey was conducted to collect data. In total, 110 fully completed and useable questionnaires were received. Statistical analyses were undertaken using the Statistical Package for Social Sciences (SPSS).

The results indicate that lack of budget, lack of clear strategies for development of sustainable “smart villages”, lack of collaboration between stakeholders and lack of knowledge related to “smart villages” are the most debated challenges for implementing smart village agenda. Whereas smart energy, smart healthcare, smart transport, smart education and smart water are the top five most important smart village strategies.

Despite the novel insights provided by this study, it has some limitations. Given that the research reported in this paper is based on literature review and small-scale survey, results presented are only tentative and not generalisable. The findings of this paper are limited to the UK context only. Although generalisability outside of this context may be limited, the authors infer that the results are relevant to other comparable developed countries.

Research on smart village development is rare. This paper presents a theoretical basis on the concept of smart villages. It adds to the rich insight that goes into the understanding and awareness of the current smart village strategies along with the key challenges organisations encounter when implementing smart village initiatives. This research has implications towards informing professionals and policymakers on key lessons learnt during the implementation of smart village strategies. Also, this paper contributes to the academic debate on smart village development and provides useful recommendations to both policymakers and practitioners.

To maximize the network total profit by calculating the difference between costs and revenue (first objective function). To maximize the positive impact on the environment by integrating GSCM factors in RL (second objective function). To calculate the efficiency of disassembly centers by SDEA method, which are selected as suppliers and maximize the total efficiency (third objective function). To evaluate the resources and total efficiency of the proposed model to facilitate the allocation resource process, to increase resource efficiency and to improve the efficiency of disassembly centers by Inverse DEA.

The design of a closed-loop logistics network for after-sales service for mobile phones and digital cameras has been developed by the mixed-integer linear programming method (MILP). Development of MILP method has been performed by simultaneously considering three main objectives including: total network profit, green supply chain factors (environmental sustainability) and maximizing the efficiency of disassembly centers. The proposed model of study is a six-level, multi-objective, single-period and multi-product that focuses on electrical waste. The efficiency of product return centers is calculated by SDEA method and the most efficient centers are selected.

The results of using the model in a case mining showed that, due to the use of green factors in network design, environmental pollution and undesirable disposal of some electronic waste were reduced. Also, with the reduction of waste disposal, valuable materials entered the market cycle and the network profit increased.

(1) Design a closed-loop reverse logistics network for after-sales services; (2) Introduce a multi-objective multi-echelon mixed integer linear programming model; (3) Sensitivity analysis use Inverse-DEA method to increase the efficiency of inefficient units; (4) Use the GSC factors and DEA method in reverse logistics network.

Social sciences have discussed the host–guest relation from many theoretical lenses and perspectives. Violence as well as local crime has been studied as one of the major risks concerning tourism security. Anyway, less attention was given to homeless people and their interaction with foreign or local tourists. The purpose of this paper is oriented to explain how globalization has winners and losers, in which case, as noted, thousands of persons are excluded from the formal labor marketplace or the economic system year by year.

This is a conceptual paper that discusses critically not only the recent advances of sociology in urban tourism but also the connection between homeless people and tourists.

There is an urban underclass formed by those who have been excluded from the economic system. What is more important, such an underclass situates nearby luxury hotels and tourist destinations creating serious contradictions or zones of disputes. These contradictions have been approached by different sociologists since the turn of the 20th century.

The question of sustainability, as well as the idea of liveable cities, and the efficient organization of the city, have occupied a central position in the academic debate, above all after the COVID-19 pandemic. In the present paper, the authors put in dialogue the contributions of Marc Auge with Zyggy Bauman toward a new understanding of this postmodern phenomenon.

Based on the metaphor of vagabonds and tourists, we give a snapshot of the problem of homelessness in Buenos Aires city and its effects on the tourism industry. Unlike other English-speaking countries where the cities are actively organized by the state, Buenos Aires city lacks a planned program to regulate and relocate homeless people. They dwell in nonplaces nearby tourists sleeping in the streets near luxury hotels (but for sure escaping any planning or governmental control).

Organizational technologies can be classified according to the roles they play as either commodity or strategic. Commodity technologies support common operations, while strategic technologies address perceived threats to competitiveness, often identified by strategic foresight. These must go through an adoption process before playing an effective role in strategy execution. The adoption process includes known activities, ranging from sourcing (itself from in-house development to turn-key acquisition) to operational integration. This paper aims to reveal strategic technology adoption risks that arise during strategy execution.

A gradually developed causal loop diagram model, supported by general literature, introduces three general classes of technology adoption risks: mismatched requirements, supplier dependence and unmanaged life cycles.

Rather than managed, these risks are incurred or avoided depending on decisions made during the adoption process.

Despite the scarce literature coverage for the approach, examples revealing the presence of adoption risks are nevertheless available in the well-documented history of enterprise resource planning (ERP).

Although ERP is presented as a general-purpose strategic technology, the unique business features of maritime container terminals pose serious challenges to its adoption, which provides additional support to the discussion and reinforces the conclusions.

The approach to identifying risks in strategic technology adoption departs from the current risk paradigm in two significant ways. First, it emphasizes policy decision-making rather than external events. Second, it views risks as systemic rather than occurring independently.