Search results

This article aims to open the black box of the relationship between customer experience and customer satisfaction. The authors also take a fine-grained approach to the concept of customer experience analysis in terms of four dimensions: basic service experience (BSE), moments of truth (MT), focus on results (FR) and peace of mind (PM).

A total sample of 185 industrial customers in Spain was collected via an online platform from March to April 2020. The data were analysed using partial least squares-structural equation modelling (PLS-SEM).

The results indicated that the four dimensions of customer experience are the foundation of commercial success (i.e. customer satisfaction) for express parcel companies in the business-to-business (B2B) environment. Therefore, the most innovative express parcel companies should not only pay attention to providing services in accordance with the customer agreement but also go beyond that; hence, these companies must understand customer needs to be able to offer a unique experience. Therefore, these companies must design experiences that go beyond pure technical delivery services.

Although previous work has linked customer experience to customer satisfaction, there is little work that does so specifically in an industry as in vogue as express parcels and less so in the B2B environment. In addition, this work analyses fine-grained customer experience in terms of grain's four dimensions, and therefore, the authors analyse how each dimension (e.g. more rational or more subjective dimensions) impacts customer satisfaction. Few studies have focussed on this type of analysis for express parcel companies in the B2B environment.

Expanded awareness and application of recent PLS-SEM reporting practices were again called for by Hair (2022) in his PLS 2022 Keynote Address. This paper aims to analyze and extend the application of PLS-SEM in Industrial Management and Data Systems (IMDS) to focus on trends emerging in the more recent 2016–2022 period.

A review of PLS-SEM applications in information systems studies published in IMDS and MISQ for the period 2012–2022 identifies and comments on a total of 135 articles. Selected emerging advanced analytical PLS-SEM applications are also highlighted to expand awareness of their value in more rigorously evaluating model results.

There is a continually increasing maturity of the information systems field in applying PLS-SEM, particularly for IMDS authors. Model complexity and improved prediction assessment as well as other advanced analytical options are increasingly identified as reasons for applying PLS-SEM.

Findings demonstrate the continued use and acceptance of PLS-SEM as a useful alternative research methodology within IS. PLS-SEM is the preferred SEM method in many research settings, but particularly when the research objective is prediction to the population, mediation and mediated moderation, formative constructs are specified, constructs must be modeled as higher-order and for competing model comparisons.

This update on PLS-SEM applications and recent methodological developments will help authors to better understand and apply the method, as well as publish their work. Researchers are encouraged to engage in more complete analyses and include enhanced reporting procedures.

Applications of PLS-SEM for prediction, theory testing and confirmation are increasing. Information systems scholars should continue to exercise sound practice by reporting reasons for using PLS-SEM and recognizing its wider applicability for both exploratory and confirmatory research.

This study contributes to current efforts to design and implement sustainable innovation strategies in organisations from the textile industry. This study aims to examine how businesses can overcome the current challenges (e.g. lack of resources) of sustainable innovation by the incorporation of green knowledge of customers into their value co-creation strategies. Such strategies are based on actively listening to customers and addressing their expectations with regard to environmental sustainability, in particular in the face of the negative environmental impact of the fast-fashion industry.

The findings of this study are derived from the analysis of data collected from 208 small and medium enterprises (SMEs) in the Spanish textile sector. A partial least squares structural equation modeling analysis was conducted using version 3.3.3 of the SmartPLS software.

This paper contributes to the literature on environmental sustainability by informing SME eco-innovation through the active listening of their customers’ perceptions while implementing value co-creation strategies. The research has found that engaging with customers and actively listening and addressing their expectations can result in the creation of green knowledge that contributes to both incremental and radical eco-innovation in the textile sector.

This study found that when organisations from the sector lack eco-innovation capabilities, their existing and often their potential customer base is able to acquire new environmental knowledge and transfer it to the business through a process of value co-creation. The research also found that such green knowledge has the potential to lead to eco-innovation in the sector. In other words, the value co-creation process between the textile industry and its customers is a driver of the eco-innovations required to reduce the environmental impact of the sector, helping it address both its sustainability and its ethical challenges.

This study proposes that co-creation challenges such as the lack of resources, funding, qualified staff or technologies motivate companies in the textile sector to collaborate with their customers to seek joint solutions.

This study aims to investigate the impact of the ethical management of data privacy on the overall reputation of businesses.

A conceptual model was proposed and tested. Data were collected from 208 small and medium-sized enterprises (SMEs) in the textile industry in Valencia, Spain using a survey instrument. Partial least squares (PLS) allowed for the analysis of the data collected.

The theoretical model explains 46.1% of the variation in the organisational reputation variable. The findings indicate that ethical data privacy has a beneficial effect on an organisation's reputation and eco-innovation. The findings also demonstrate how eco-innovation drives the development of new knowledge and green skills that, in turn, communicate to stakeholders a company's ethical commitment. These results should encourage SMEs to invest in data privacy in order to meet the needs of the SMEs' increasingly technology- and environment-sensitive stakeholders and to improve their reputation.

This study provides the first empirical evidence that ethical data privacy management has a positive impact on the reputation of firms. Furthermore, the originality of the research derives from the analysis of the results from an environmental perspective. Indeed, this study shows that effective data privacy management can indirectly support organisational reputation through eco-innovation and green skills.

The intangible nature of tourism means that variables such as destination image (DIM) or intention to recommend (IR) are crucial for tourists, as they are reliable sources of information. However, since these are dynamic variables, they have been affected by Covid-19 and need to be updated. Based on the above, the purpose of this study is to examine how the unlearning (UL) process helps tourists to become aware of the new situation, relinquish old habits and relearn, thus, influencing DIM and the IR destinations. Furthermore, the relationship between DIM and IR is analysed.

To analyse the proposed model, an empirical analysis was carried out through an online survey obtaining a valid sample of 457 Spanish domestic travellers. The data were analysed using partial least square structural equation modelling (PLS-SEM).

Results show a positive effect between the UL outcomes and IR a destination, as well as a mediator effect of DIM on this relationship.

To the best of the authors’ knowledge, this study analyses for the first time UL in the tourism sector as an individual process carried out by tourists and shows how it influences their decision-making process.

La naturaleza intangible del turismo hace que variables como la imagen del destino o la intención de recomendarlo sean decisivas para los turistas, al considerarlas fuentes de información fiables. Dado su carácter dinámico, estas variables se han visto afectadas por la pandemia del Covid-19 y necesitan ser actualizadas. En base a lo anterior, el objetivo de este estudio es analizar cómo el proceso de desaprendizaje ayuda a los turistas a ser conscientes de la nueva situación, a abandonar los viejos hábitos y a reaprender, influyendo así en la imagen del destino y en la intención de recomendarlos. Asimismo, se analiza la relación entre la imagen del destino y la intención de recomendarlo.

Para analizar el modelo propuesto se llevó a cabo un estudio empírico basado en una encuesta online, obteniendo una muestra válida de 457 viajeros nacionales españoles. Los datos se han analizado mediante PLS-SEM.

Los resultados del estudio muestran un efecto positivo entre los resultados del desaprendizaje y la intención de recomendar destinos, así como un efecto mediador de la imagen de destino en esta relación.

Este estudio analiza por primera vez el desaprendizaje en el sector turístico como un proceso individual llevado a cabo por turistas y muestra cómo influye en el proceso de toma de decisiones de estos.

The purpose of this paper is to investigate the generation of civic and public (C&P) engagement as an integrative outcome of a proper balance between emotional, rational and spiritual knowledge, via the mediation of interpersonal competencies.

The empirical analysis relies on a questionnaire-based survey conducted with 294 respondents from two knowledge-intensive organizations. Structural equation modeling, using Smart PLS 4, is used to analyze the data.

Individual knowledge can be considered as the refined outcome of the underlying transformations of various knowledge sources and resources, which is apposite for the next level of knowledge workers’ acumen. Individual knowledge – which relies on a good balance of rational, emotional and spiritual knowledge – exerts a positive effect on interpersonal competencies, wherein the latter positively influences the C&P engagement of knowledge workers.

Policymakers should capitalize on the development of strong interpersonal competencies; they should be able to understand the social mechanisms of motivating people, of stimulating, harnessing and channeling individual knowledge toward higher C&P as a prerequisite of value creation.

To the best of the authors’ knowledge, this is the first argumentative undertaking intended to explore the conversion of the three knowledge types into individual knowledge as a premise of interpersonal competencies development and as a relevant antecedent of C&P engagement. The results of this paper support that achieving balance in one's life is essential for increasing interpersonal competencies and C&P engagement. This study not only represents the first contribution to this debate but also helps managers and organizations to recognize that a good balance requires emotional, rational and spiritual knowledge.

The study sets out to explore the mediating role of intellectual capital (IC) dimensions (i.e. human, structural and relational) between scholars' affiliation to online academic networks and institutional knowledge capitalization. Online academic networks are tackled through the lens of knowledge networks which have been of primary importance for new relevant knowledge acquisition during the COVID-19 pandemic.

A questionnaire-based survey of 305 academics from 35 different countries was conducted from July to December 2021, employing a partial least squares structural equation modelling technique. The database was initially filtered to ensure the adequacy of the sample, and data were analyzed using the statistics software package SmartPLS 3.0.

Evidence was brought forward that the proposed conceptual model accounted for 52.5% of the variance in institutional knowledge capitalization, the structural and relational capital availed by knowledge networks exerting strong positive influence on the dependent variable.

The study has both research and managerial implications in that it approaches a topical phenomenon, namely the capitalization of online academic networks in the COVID-19 context, which has dramatically altered the way that research and teaching are conducted worldwide.

The most important contribution of the paper resides in the comprehensive research model advanced which covers individual, organizational and network multifaced layers, starting with the personal and institutional motives to join a specialized network, continuing with the opportunities provided by knowledge networks in terms of intellectual capital harnessing, and ending with its influence on higher education organizations.

This study examines the effect of open-mindedness (OM) and humble behavior on innovation through the mediator role of learning.

A quantitative design was adopted to collect data through a questionnaire-based survey distributed to 400 employees at international oil companies operating in Iraq.

The results indicate a direct positive of learning on innovation. Hence, there is a natural and partial indirect effect of humble behavior on innovation and a full indirect impact of OM on innovation through learning.

The theoretical and practical implication of this study indicates that individual learning on innovation is vital when the workplace environment has a diversity of cultural backgrounds. Moreover, the implications of this study may contribute to determining the weakness of invention in such industries because of the effect of personal characteristics (i.e. OM and humble) on readiness to learn.

In a culturally diverse work environment, the behavior of humble and OM will have a significant impact on the intensity of individual learning, which would increase innovation in the context of the oil industry. Therefore, the essence of originality in this study is to lead the managers to pay attention to the psychological aspects of the workplace environment that require learning and innovation.

The study explores the impact of knowledge management (KM) enablers, i.e. trust and organizational climate, on KM processes. The study further observes the indirect relationship of KM processes on organizational performance via the mediating role of knowledge workers' satisfaction in cross-cultural settings.

This research used a survey of 784 educational and administrative personnel from higher education institutions (HEIs) in Pakistan and China. Smart Partial Least Square (PLS) 3.2.9 was employed to perform the analysis.

The result shows that trust and organizational climate influences KM processes, and these KM processes, in turn, impact organizational performance via the partial mediating effect of knowledge worker satisfaction (KWS) in Pakistan. The multi-group analysis confirmed the substantial differential effect of KM processes on KWS in culturally different HEIs. At the same time, the study's overall sample substantiated full mediation in China. Furthermore, the impact of KM processes on organizational performance did not substantiate in China.

Outcomes of this research affirm KM university practice and recommend how higher education academics and administrators prioritize trust, organizational climate, KM processes, and KWS while strengthening organizational performance in a culturally different environment.

A lack of research ascertains the inter-relationship between trust, organizational climate, KM processes, KWS, and organizational performance in culturally different environments. This is one of the initial studies that examine the relationship between trust, organizational climate, KM processes, KWS, and organizational performance in HEIs. The study empirically examines the inter-relationships among these variables and enlightens insights into the current literature by immediately investigating the mediating role of KWS in culturally different environments.