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J-curve relationship analyses can provide valuable insights to information systems (IS) researchers. This paper aims to discuss moderated mediation in IS research and the related emergence of J-curve relationships.

Building on an illustrative study in the field of IS, the author Lays out three steps to combine moderation and J-curve analyses, with the goal of more fully understanding the underlying moderated mediation relationships. The paper proposes a new segmentation delta method to test for J-curve emergence, as part of this framework.

The paper shows, in the context of this study, the complementarity of moderation and J-curve analyses.

Currently, IS researchers rarely conduct moderation and J-curve analyses in a complementary way, even though there are software tools, and related methods, which allow them to do so in a relatively straightforward way.

The analyses were conducted with the software WarpPLS, a widely used tool that allows for moderated mediation and J-curve analyses, in a way that is fully compatible with the set of steps presented in this paper.

The study investigates the effect of technological capabilities, organizational capabilities and environmental capabilities on Logistics 4.0 capabilities and also examines the effect of Logistics 4.0 capabilities on firm performance.

The proposed theoretical framework is tested using WarpPLS 6.0 software. We selected samples from the Automotive Component and Allied Manufacturers in South Africa. Initially, we sent the structured questionnaire online using Google forms to 800 potential respondents. After doing follow ups, we received 230 completed survey responses. Further, data preparation is done using established scientific approach and we checked suitability of its use in structural equation modelling. After ensuring all necessary checks are completed, the results are found satisfactory to further proceed with testing of research hypotheses.

It is observed that technological capabilities, organizational capabilities and environmental capabilities show significant effect on Logistics 4.0 capabilities. However, the outcome of technological capabilities and environmental capabilities on Logistics 4.0 capabilities (ß = 0.27) is found stronger than organizational capabilities. Logistics 4.0 capabilities shows significant effect on firm performance.

It is important that the sustainability goals are aligned with Logistics 4.0 strategies. Managers need to increase focus towards development of Logistics 4.0 dynamic capabilities that enhance agility and responsiveness in the supply chain. Managers should check the financial performance and market conditions continuously to further review logistics performance as this can influence the overall firm performance.

This study advances the literature on Logistics 4.0 applications in operations management by investigating the key links such as Logistics 4.0 capability development and firm performance.

Rural homestays have emerged as an interesting option for tourists. This study aims to assess the role of destination attractiveness factors and travel motivations in homestay choice. The moderating role of need for uniqueness towards enhancing these relationships is also examined.

A survey of 201 Indian tourists who had visited rural homestays in the Uttarakhand state of India was conducted. Data were analyzed using SPSS and WarpPLS, based on structural equation modelling approach.

Results indicate that two destination attractiveness factors – (a) cultural and rural attractions and (b) destination location and transportation – have a significant association with rural homestay choice. Further, need for uniqueness enhances the relationship between natural attractions and choosing rural homestays.

Although there are several studies on rural homestays, there is scant research on the factors influencing the choice of rural homestays from a tourists’ perspective. Besides, studies on rural homestay tourism have not assessed the role of need for uniqueness in influencing such choices. The implications of the study for destination marketers, homestay operators and owners are discussed which would hopefully aid in attracting discerning tourists to the rural homestays to such regions.

The purpose of the paper is to analyze the different results between the effects of electronic word of mouth (e-WOM) on the perception of potential tourist in Japan and Indonesia regarding destination image, destination trust, satisfaction and their intention to visit.

This research method is a structural model. Based on the existing literature review, several variables were obtained which were then analyzed by WarpPLS 6.0 software. The sampling method applied in this study is the purposive sampling technique. Samples of 200 potential tourists were collected in Indonesia and 100 potential tourists were collected in Japan. The population in this study was a potential tourist in Indonesia and Japan, with the following criteria: An Indonesian citizen, age between 19 and 60 years, who has never visited Japan and a Japanese citizen who has never visited Indonesia and have ever read or conduct online discussions regarding Japan and Indonesia as a tourist destination.

The results of the analysis of the two respondents in Japan and Indonesia prove that e-WOM has a positive effect on the image of the destination and intention to visit but not on the confidence of the destination. Destination image was also proven to significantly mediate the influence of e-WOM on intention to visit. These findings bring important implications for the theory and practice of tourism marketing.

Theoretically, the result could be used as a reference for further research about the comparison between the effect e-WOM on destination image, destination trust and intention to visit of potential tourist in developed countries and developing countries. Practically, the result could be used as a consideration for the tourism industry and authority in both countries when formulating the destination marketing strategy.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2019-0111

The purpose of this paper is to investigate the extent to which financial behavior and financial well-being are affected by cognitive and non-cognitive factors in a specific Romanian post-communist context. This study shows that financial well-being is significantly linked to both financial education and to a set of non-cognitive factors. This paper offers strategic insights on what financial services should communicate to consumers and how they should be communicated, achieve the mutual benefits of the transformative paradigm.

This study uses an online sample of 1,602 participants, representative of the general population in Romania concerning income and education, to collect data on financial anxiety, financial security and financial saving behavior (dependent variables), self-control, optimism, future orientation, deliberative thinking and financial literacy (independent variables). This paper measures the latent constructs – as composite indices, using partial least squares – path modeling. Working with WarpPLS software version 6.0 allows exploration of both linear and non-linear relationships involved in the model, along with their practical and managerial implications.

The results indicate that the key component to address in the development of financial services (in the post-soviet context) is financial anxiety. This study finds that, in contrast to Western countries, in Central, Eastern and Southeastern Europe (CESEE), financial education is not always a panacea. Additionally, financial security is not always the most important goal for consumers.

This paper suggests managerial recommendations for redefining the relationship between banks and the Romanian population, focused mainly on diminishing financial anxiety and increasing financial security, as key elements of transformative financial services.

The study highlights the significant role played by behavioral variables in shaping financial well-being in Romania, being among the very few investigations illustrating the relevance of the topic in post-communist countries. This research shows unique challenges for the design of transformative financial services in a specific (post-communist) setting and provides insights on how financial services marketing can become more effective in the CESEE region.

Consumer behavior, in the context of general insurance, is worth exploring to formulate growth strategies for insurance sector in India in light of the proposed structural changes. Indian consumers attract global players due to untapped potential and favorable policy measures initiated for higher foreign direct investments. The purpose of this paper is to understand the prevailing level of service quality as perceived by insurance customers in India in the presence of certain contextual antecedents and moderators.

Perceptions about constructs like customer risk dispositions, awareness, past experiences, customer involvement, choice overload, service quality and satisfaction of 256 customers were collected using a questionnaire survey. A variance-based structural equation modeling helped to identify significant linkages among the constructs.

In order to assess service quality levels, a 15-item scale having the infrastructure, employees, agents and product dimensions was found valid and reliable. Choice overload and customer involvement were found to moderate the influence of antecedents and service quality, respectively. The influence of choice overload on quality perceptions is insignificant. The study concludes that the existing risk beliefs are insufficient, and experiences have less predictive contribution to quality perceptions.

Theoretically, this study examined the process of satisfaction development from service quality perceptions. This study offers insights for developing theories to portray future consumer behavior where more dependence of self-service technologies is expected to dominate service delivery mechanisms in insurance. The study informs that general insurance customers in India prefer more diversified products, more customer-centric employees/agents and better technical quality.

The findings of this study contribute to the understanding of the prevailing insurance consumer behavior in the general insurance sector of India and help insurance service providers in streamlining their strategies for better insurance penetration and reduced lapse rate.

This study helps in understanding the emerging trends in general insurance buying behavior in India.

The purpose of this paper is to propose a theory of information security intelligence and examine the effects of managers’ information security intelligence (MISI) on employees’ procedural countermeasure awareness and information security policy (ISP) compliance intention.

A survey approach and structural equation modeling is utilized. Partial least squares (WarpPLS 6.0) and nonlinear algorithm are employed to analyze and examine the hypotheses. In total, 324 employees from companies in South Korea participated in the survey, which was conducted by a professional survey service company.

MISI positively affects employees’ awareness of information security procedural countermeasures; information security knowledge and problem-solving skills have positive effects on procedural countermeasures awareness; MISI increases employees’ compliance intention through procedural countermeasure awareness; and information security procedural countermeasures positively affect employees’ ISP compliance intention.

This study proposes a theory of information security intelligence and examines its impacts on employees’ compliance intentions. The study highlights the mediating role of information security procedural countermeasures between information security intelligence and employees’ compliance intentions.

Managers should improve and explicitly demonstrate information security knowledge and problem-solving skills to increase employees’ ISP compliance intention. To protect the organization’s intellectual capital, managers should champion the development and promotion of PCM, rather than leave these functions to the information security group.

This is the first empirical study to propose and validate MISI.

The study investigated the effect of big data analytics capabilities (BDACs) on reverse logistics (strategic and tactical) decisions and finally on remanufacturing performance.

The primary data were collected using a structured questionnaire and an online survey sent to South African manufacturing companies. The data were analysed using partial least squares based structural equation modelling (PLS–SEM) based WarpPLS 6.0 software.

The results indicate that data generation capabilities (DGCs) have a strong association with strategic reverse logistics decisions (SRLDs). Data integration and management capabilities (DIMCs) show a positive relationship with tactical reverse logistics decisions (TRLDs). Advanced analytics capabilities (AACs), data visualisation capabilities (DVCs) and data-driven culture (DDC) show a positive association with both SRLDs and TRLDs. SRLDs and TRLDs were found to have a positive link with remanufacturing performance.

The theoretical guided results can help managers to understand the value of big data analytics (BDA) in making better quality judgement of reverse logistics and enhance remanufacturing processes for achieving sustainability.

This research explored the relationship between BDA, reverse logistics decisions and remanufacturing performance. The study was practice oriented, and according to the authors’ knowledge, it is the first study to be conducted in the South African context.

The aim of this current study is to investigate the effects of knowledge management capabilities – knowledge infrastructure capability and knowledge processing capability – on organizational agility and business performance. This study also examines organizational agility as an underlying mechanism between knowledge management capabilities and business performance relationship.

The data were collected from one hundred and sixty-nine organizations. Partial least squared (PLS)–based structural equation modeling (SEM) technique was employed to test the study hypotheses. The analysis was performed in WarpPLS 6.0 software.

Results revealed that both dimensions of knowledge management capabilities positively influence organizational agility and business performance. In addition to the direct effect, knowledge management capabilities also have an indirect effect on business performance mediated through organizational agility.

This study attempts to develop an integrated framework to conceptualize a capability–capacity–performance relationship, where it suggests that knowledge management capabilities are important organization-level capabilities which facilitate organizations to develop necessary capacities i.e. organizational agility to successfully perform business activities.

The findings help the managers to understand the contribution of knowledge management capabilities towards business performance. The findings imply that business performance can be enhanced by development of a culture - enabled by a knowledge-oriented structure and technology – that encourages knowledge sharing among employees because when employees are not sharing information, they are prone to repeating the same mistakes which they and other people have already committed. Likewise, strategies such as mentoring cross training, business process empowerment and technical training programs allow employees to gain business knowledge and foster organizational agility.

Novelty of this study is to develop and empirically test an integrated framework of a capability–capacity–performance relationship. It suggests that knowledge management capabilities (firm capability) enable organizations to develop organizational agility (firm capacity) which in turn enhances performance.

The purpose of this paper is to contribute to international tourism market segmentation research by proposing a comprehensive framework that examines behavioral, benefits and lifestyle segmentations. The moderating roles of geographic segmentation (nationality) and advertising media types are also discussed.

Tourists volunteered to participate in a self-administered survey at random during peak seasons. Total number of collected questionnaires was 966. The authors used WarpPLS 6.0 software to analyze data.

Results from a sample of 919 tourists show that tourists in the benefit segmentation cluster had intentions to revisit the destination but they were unlikely to recommend it to others. Another finding indicates that marketing campaigns on different advertising media types might have different results when targeting different activities.

Leaning on the foundations of the marketing literature and the market segmentation theory, this research attempts to create a theoretical contribution that can be used to segment international tourists based on their travel motivations. Additionally, this study highlights the power of conditional probability approach, as it could be of more value than the predominant path coefficient approach.