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The issue is which third-party logistics to engage, and escalating customer complaints about service quality of third-party logistics (3PL) enhances the tendency of online retailers to switch to another 3PL. The current study seeks to investigate the factors influencing the satisfaction and switching intention of 3PL services among online sellers in Malaysia.

Applying a purposive sampling method, data were gathered via an online survey among online sellers. Initially, the system gathered 418 respondents, but only 311 were useable for further analysis. Since we operationalised the measures as composites, a combination of reflective and formative measurement in the study and the study focuses on explanatory and predictive purposes, partial least squares structural equation modelling with SmartPLS 4 was applied to test the model developed.

The results indicated that conflict handling had a positive effect on satisfaction, and satisfaction had a negative relationship with the switching intention of 3PL among the online retailers. Moreover, satisfaction and customer relationship management sequentially mediated conflict handling and switching intention, whereas CRM strengthens the negative relationship between satisfaction and switching intention.

The respondents only limit to the online sellers in Malaysia which based on purposive sampling method, thus the findings cannot be generalised to another countries.

The study offers insightful information for the managers of the 3PL in crafting a better policy to avoid switching behaviour among their customers. The conflict between customers and providers is unavoidable since consumers have unlimited demand and businesses have limited resources. The findings also benefit online sellers and 3PL service providers to create attractive marketing strategies for business sustainability.

The study developed a new model for the 3PL studies using the S-O-R model in introducing conflict handling and customer relationship management as the stimulus, customer's satisfaction as an organism and switching intention as a response. The study introduced single and sequential mediators also contributes to the S-O-R theory to predict the switching intention among the online sellers towards the 3PL providers. Another important contribution, customer relationship management, was confirmed to play a moderating role to influence the relationship between satisfaction and switching intention.

This paper examines the effect of green creativity (GC) on the business sustainability (BS) of large manufacturing firms (LMFs) in Malaysia and investigates the mediating effect of total quality management (TQM) on this relationship.

A quantitative approach was adopted, using a sample of 206 LMFs; the formulated hypotheses were analysed using partial least squares structural equation modeling.

The findings revealed a significant positive effect of GC on the TQM and BS of LMFs and a significant positive effect of TQM on their BS. TQM also has a full mediating effect on the relationship between GC and BS.

One of the limitations of this study is its focus on Malaysian LMFs. It nevertheless contributes to the literature by extending knowledge concerning their TQM, GC and multi-faceted perspectives. This is largely ignored in literature and, as such, the study paves the way for additional research.

The findings of this study may be used as guidelines for CEOs, particularly on the way TQM and GC can be developed for enhanced BS, in the context of South Asian countries.

This study is the first to test the influence of GC on Malaysian LMFs’ BS and the first worldwide to investigate the mediating effect of TQM on their GC-BS relationship.

This study aims to investigate the impact of the source of the content in social media communication and the content distribution intensity on consumer-based brand equity (CBBE) dimensions and how the study will eventually impact purchase intention.

A total of 521 samples were collected using an online survey questionnaire. The respondents' validity was verified using purposive sampling techniques, and the responses were analysed using SmartPLS 3.0.

The authors outlined the fundamental mechanisms of what makes social media communication effective and discovered that emotional-based brand equity dimensions (brand association and brand loyalty) remained significant in influencing purchase intention. However, attribution-based brand equity dimensions (perceived quality, brand trust and brand awareness) are found to have no impact.

This study decomposed social media communication into three different dimensions, and the authors' result showed that the dimensions do not impact CBBE to the same extent. The authors concluded that some CBBE dimensions, which appear to be a rigour determinant of purchase intention over time, have a feeble effect during the pandemic. The existing relationship between the CBBE dimensions with purchase intention might not hold in the pandemic context. The authors suggested that anxiety or pandemic fear could alter the normal consumer buying process and make some well-established relationships not hold. As research indicates that pandemics are reoccurring events, the authors' study contributes to the global effort to dampen some of the pandemic-related effects on business and marketing.

The urgency to address climate change and its devastating consequences has never been more pressing. As societies become increasingly aware of the detrimental impact of traditional housing on the planet, there is a growing demand for eco-friendly housing solutions that prioritize energy efficiency, resource conservation and reduced carbon emissions. Therefore, this study aims to investigate the factors that influence customers’ priority toward eco-friendly house purchasing intention.

This study collected 386 data using a quantitative research strategy and purposive sampling method. This study uses a hybrid analysis technique using partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) approaches to identify the influencing factors.

The PLS-SEM analysis found that attitude toward the eco-friendly house, subjective norms, performance expectancy, environmental knowledge and environmental sensitivity have a positive influence on eco-friendly house purchasing intention. However, perceived behavioral control and willingness to pay were found to have insignificant effect on customers’ intention to purchase eco-friendly houses. The fsQCA results further revealed complex causal relationships between the influencing factors.

This research will not only contribute to academic knowledge but also provide practical guidance to real estate developers, policymakers and individuals looking to make environmentally responsible choices. By understanding the factors that influence consumers’ intentions to purchase eco-friendly houses, we can pave the way for a more sustainable and resilient future.

This study has used a hybrid analysis technique, combining PLS-SEM and fsQCA, to enhance the predictive accuracy of eco-friendly house purchase intentions among individuals residing in densely populated and highly polluted developing countries, such as Bangladesh.

This study aims to identify the intentions of immigrant entrepreneurs to start new projects by investigating the role of influence of institutional support, social context, cultural intelligence, self-efficacy, optimizing personality traits and hierarchy legitimacy on intentions to start new ventures. In addition, the strength of the relationship for such factors and intentions to start new ventures was determined through the moderator role of easy access to venture capital.

To this end, this study complements the academic literature by integrating the structural equation modeling (SEM) and multiple-criteria decision-making (MCDM) techniques. Thus, the MCDM (i.e. analytic hierarchy process and vlsekriterijumska optimizcija i kaompromisno resenje [VIKOR]) is an effective approach to solving the problem of complexity and evaluation (i.e. multiple evaluation criteria, important criteria and data variation). Hence, to complete the strategic guideline solution, this study uses a survey for collecting data from 202 immigrants in Malaysia, Pakistan, Nigeria and Singapore.

The results from SEM prove several critical factors of immigrants’ entrepreneurs. These factors of immigrants’ entrepreneurs can be vital for academics and host countries. By focusing on these aspects and by developing some personality traits (such as self-efficacy and optimal personality traits), these factors can contribute a good deal to increasing the capabilities of immigrant’s entrepreneurs toward entrepreneurial intentions. In the validation, the statistical objective method indicates that the immigrants' prioritizations in all countries are supported by the systematic ranking. Thus, entrepreneurial intentions for immigrants can pursue the order proven by the VIKOR results.

This study has some significant practical and theoretical implications. Practically, the study findings will enable managers to develop strategies to support immigrants for entrepreneurial intentions to start new ventures.

The novelty of the context under given circumstances of global environment adds to the originality of this study. Several previous studies have also emphasized the need for this type of study in other contexts. The findings can call managers’ attention toward a critical issue of immigrants’ entrepreneurial intentions to start new ventures.

This chapter of the book seeks to use famous mathematical functions (statistical distribution functions) in evaluating and analyzing supply chain network data related to supply chain management (SCM) elements in organizations. In other words, the main purpose of this chapter is to find the best-fitted statistical distribution functions for SCM data. Explaining how to best fit the statistical distribution function along with the explanation of all possible aspects of a function for selected components of SCM from this chapter will make a significant attraction for production and services experts who will lead their organization to the path of competitive excellence. The main core of the chapter is the reliability values related to the reliability function calculated by the relevant chart and extracting other information based on other aspects of statistical distribution functions such as probability density, cumulative distribution, and failure function. This chapter of the book will turn readers into professional users of statistical distribution functions in mathematics for analyzing supply chain element data.

This chapter of the book aims to achieve sustainability and productivity in light of the interaction between managers and engineers in a lean and agile supply chain management system in today’s organizations. The main innovation of this chapter is the use of the balanced scorecard (BSC) model and fuzzy analysis network process (FANP) to create a suitable platform for the realization of this interaction between managers and engineers and to identify exactly which expert system is ideal for the main purpose. Indeed, this chapter introduces its readers to the application of strategic management tools such as the BSC accompanied by FANP in the elements of supply chain management where data analysis of lean and agile networks in supply chain management can create a competitive advantage in the organization.