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The entrepreneurial stress construct’s nomological validity is not well established as past studies have not delineated between entrepreneurial and employee stress. This study investigated several entrepreneurship-specific stressors positing their causal effect on perceived entrepreneurial stress (PES). It examined four directional hypotheses testing the causal, reverse, reciprocal relationships and moderation effects between stressors and PES. Further, it looked at the moderating impact of psychological capital. More than 300 entrepreneurs in emerging markets, namely India, Pakistan, and the United Arab Emirates, participated in this longitudinal study (Time 1 n = 325, Time 2 n = 310). The study adopted a cross-lagged competing model research design and analyzed the data using structural equation modeling (SEM). The results show that entrepreneurship-specific personal, social, and occupational stressors cause PES. Further, the results also support the reverse causal effect of PES on stressors and a reciprocal relationship. The study advances resource-based theory to an entrepreneurial background, highlighting the role of intangible resource gaps in perceived entrepreneurial stress. The study concludes that entrepreneurship-specific intangible resources are useful to entrepreneurs at personal, social, and occupational levels. An actual or perceived loss of these resources may lead to perceived entrepreneurial stress. Furthermore, PES can interfere with the entrepreneurial capacity for innovation over time. Psychological capital can be an effective coping response as a moderator of perceived entrepreneurial stress’ adverse effects. This is one of the first studies that examines PES in an emerging market context, specific to entrepreneurial employment.

Belt and Road Initiative (BRI), one of the largest logistics and transportation infrastructures to date, has focused on much work in the economics and political sciences. However, little research has been done on how BRI can affect supply chain management on the whole. Since BRI is a large-scale logistics infrastructure-building project, it is clear that it will have several implications for supply chains. This study aimed to fill this gap in supply chain management literature within the context of the BRI. In particular, this paper aimed to unveil the potential challenges and threats that BRI may bring to supply chain management. Using 20 semistructured interviews with supply chain managers located on the BRI lane in South Asian countries (Pakistan, India, Bangladesh, etc.), this study posed six distinct implications of BRI for logistics and supply chain management. This article concludes by articulating its contributions to theory and practice and, finally, limitations and future research directions.

The study aims to explore the factors influencing seasonality in tourism in Oman. The current study has primarily adopted quantitative approach. Research design incorporates the use of structured questionnaires and data was analyzed using quantitative analyses. The sample was chosen using non-probability sampling technique from a population of employees working in different travel agencies, tour operators and hotels based in Muscat. The identified factors influencing seasonality in the Sultanate of Oman have been categorized under three categories: Climatic, Personal and Policy-based. The results of the analyses have been supported by the relevant literature. Existing studies addressing seasonality in tourism have been based on European or Oceania sub-continents. The present study fills an important gap and explores the factors influencing seasonality in tourism in Oman.

The Internet is widely acknowledged as a platform for international communication and is increasingly used as the most crucial tool for all businesses engaged in international trade. According to estimates, 52.58 million people in Bangladesh are using the internet in the year 2022. In spite of the fact that online shopping is not nearly as common in Bangladesh as it is in other countries, businesses are investing in business-to-consumer (B2C) online shopping. As a result, it is essential to have an understanding of the factors that influence the online purchasing behavior of Bangladeshi consumers. The goal of this study is to create a theoretical research model that will serve as a framework for determining the major variables affecting Bangladeshi consumers' choice to shop online or not. Specifically, this research focuses on the shopping habits of Bangladeshi consumers. In order to collect data, 331 people in Dhaka, Bangladesh, filled out a questionnaire that they had to administer to themselves. Validity and reliability of a measurement model were evaluated with the help of Structural Equation Modelling (SEM) analyses. The measurement model that best fits the data was approved for use based on the suitability index (fit indices). It has been shown to be a reliable instrument, and it has also satisfied the requirements set forth by psychometrics. The analysis of real-generation Multiple Linear Regression (MLR) data analysis identifies important decision-making considerations such as service quality & responsiveness, price, consumer resource, perceived risk, trialability & generational gap, website factor, payment procedure, and demographic consideration. The adoption of online shopping by Bangladeshi consumers is impacted in various ways by each of these factors. In addition to that, some recommendations and suggestions for decision-making are included in this article for researchers in the future.

Objective- The research looks forward to extracting strategies for accelerated recovery during the ongoing Covid-19 pandemic. Design - Research design considers quantitative methodology and evaluates significant factors from 170 countries to deploy supervised and unsupervised Machine Learning techniques to generate non-trivial predictions. Findings - Findings presented by the research reflect on data-driven observation applicable at the macro level and provide healthcare-oriented insights for governing authorities. Policy Implications - Research provides interpretability of Machine Learning models regarding several aspects of the pandemic that can be leveraged for optimizing treatment protocols. Originality - Research makes use of curated near-time data to identify significant correlations keeping emerging economies at the center stage. Considering the current state of clinical trial research reflects on parallel non-clinical strategies to co-exist with the Coronavirus.

According to reports and research, the services sector has emerged as one of the biggest employers across different world economies during the last two decades. As per the UNCTAD, November 2021, the services sector pulled out following the trend of an overall expansion, trade-in services. However, tourism is still below pre-pandemic ranks at $6 trillion in 2021. While analyzing the regional picture, trade growth persisted patchy in the third quarter of 2021, considering decreased regional differences in comparison to the first half of the year. In fact, the growth of the services sector’s output has led to employment growth in these economies. In present times, it is of utmost importance to manage services in a more strategic manner, so that economic stability turns into a sustainable feature for the service businesses. According to the Organisation for Economic Co-operation and Development (OECD) member countries, more than 70 percent of the employed labor force worked in the services sector in 2017; among high-income industrialized OECD member countries, except for Greece, this proportion exceeded 80 percent.  With the advancement of technology, consumerism, digitalization, and never before consumer movements, the services sector has been witnessing drastic changes. Contrary to (Dacko, 2012) services marketing, now a day is not only an approach but is also a strategy to be pursued by all firms. Managers and executives of the Service industry should carefully adapt the marketing mix composition to identify the best services strategy to achieve their marketing and business objectives. To date services marketing has received little strategic attention in the services marketing literature. Most of the research in the service sector has been concentrated on SDL and service ecosystems. As per (Pomering & Johnson, 2018) it has been proposed that service organization has strengthened sustainability in terms of environment and society through decision making. This paper is an attempt to propose a model, considering the services as an integral part of any organization. The proposed model is relevant to organizations irrespective of the fact whether they offer tangible goods or intangible services or both in some proportion. The methodology adopted is qualitative and exploratory. Authors have reviewed extensive literature and coupled the same with monitoring of industry trends to come up with the model for service marketing. The model may be applied as a strategic tool, to design and allocate the marketing mix components for enhanced visibility in the market.

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