Aurora Martínez-Martínez, Silvia Martelo-Landroguez, Gabriel Cepeda and Juan-Gabriel Cegarra-Navarro
This study aims to explore the role of sustainable fashion knowledge in shaping individual sustainable responsibility within the dynamic landscape of the fashion industry from a…
Abstract
Purpose
This study aims to explore the role of sustainable fashion knowledge in shaping individual sustainable responsibility within the dynamic landscape of the fashion industry from a novel perspective, by exploring the intricate interplay between sustainable fashion knowledge, emotional and spiritual sustainable capacities.
Design/methodology/approach
A quantitative study was used, and a causal model with partial least squares structural equation modeling was developed. A total of 211 valid responses were obtained, and data were analysed to confirm the proposed hypotheses.
Findings
The findings confirm the positive impact of sustainable fashion knowledge on individual sustainable responsibility, mediated by both spiritual and emotional sustainable capacities. This study underscores the significance of individuals in influencing societal norms, prompting fashion companies to adopt sustainable practices.
Research limitations/implications
The proposed conceptual framework integrates insights from the emotional and spiritual knowledge dynamics. This study uncovers the pathways through which individuals contribute to a more sustainable society.
Originality/value
The study not only advances the understanding of sustainable fashion practices but also provides actionable insights for policymakers, businesses and individuals seeking to foster a culture of sustainability in the fashion ecosystem.
Details
Keywords
Eva Martínez-Caro, Gabriel Cepeda-Carrión, Juan G. Cegarra-Navarro and Alexeis Garcia-Perez
The spread of the Internet in the business world has led to the development of new business-to-business (B2B) settings. Although a large number of companies have adopted B2B…
Abstract
Purpose
The spread of the Internet in the business world has led to the development of new business-to-business (B2B) settings. Although a large number of companies have adopted B2B strategies, many of these fail to implement such strategies effectively. The most common barriers encompass the technology assimilation by users. This study investigates how IT assimilation can encourage potential and realised absorptive capacity and how these can, in turn, facilitate organisational agility and performance.
Design/methodology/approach
A survey was conducted in Spanish companies that make use of Editran, a platform to support B2B strategies. In total, 110 valid responses were obtained. Advanced analytical methods of PLS-SEM as fit measures and prediction procedure recently developed by Shmueli et al. (2019) were used.
Findings
The results show that there is a positive relationship between the three preceding constructs (IT assimilation, potential and realised absorptive capacity) and organisational agility. This study also finds support for a direct relationship between organisational agility and firm performance.
Originality/value
This study provides a further understanding and forecasting through the theoretical development and empirical investigation of the role of IT assimilation on firm performance in a B2B scenario by: (1) examining the link between IT and the firm's absorptive capacity and, more specifically, with the two subsets of potential and realised absorptive capacity, which have not received much attention from previous literature; and (2) exploring how an improvement in potential and realised absorptive capacity may place firms in a better position to develop their organisational agility.
Details
Keywords
Juan-Gabriel Cegarra-Navarro, Ettore Bolisani and Gabriel Cepeda-Carrión
Counter-knowledge is knowledge learned from unverified sources and can be classified as good (i.e. harmful, for instance, funny jokes) or bad (for example, lies to manipulate…
Abstract
Purpose
Counter-knowledge is knowledge learned from unverified sources and can be classified as good (i.e. harmful, for instance, funny jokes) or bad (for example, lies to manipulate others’ decisions). The purpose of this study is to analyse the relationship between these two elements and on the possible reactions they can induce on people and institutions.
Design/methodology/approach
The relationships between good and bad counter-knowledge and the induced reactions – namely, evasive knowledge hiding and defensive reasoning – are analysed through an empirical study among 151 Spanish citizens belonging to a knowledge-intensive organization during the COVID-19 pandemic. A two-step procedure has been established to assess a causal model with SmartPLS 3.2.9.
Findings
Results show that good counter-knowledge can lead to bad counter-knowledge. In addition, counter-knowledge can trigger evasive knowledge hiding, which, in turn, fosters defensive reasoning, in a vicious circle, which can negatively affect decision-making and also cause distrust in public institutions. This was evidenced during the covid-19 pandemic in relation to the measures taken by governments.
Originality/value
This study raises the awareness that counter-knowledge is a complex phenomenon, especially in a situation of serious crisis like a pandemic. In particular, it highlights that even good counter-knowledge can turn into bad and affect people’s decisional capability negatively. In addition, it signals that not all reactions to the proliferation of counter-knowledge by public institutions are positive. For instance, censorship and lack of transparency (i.e. evasive knowledge hiding) can trigger defensive reasoning, which can, in turn, affect people’s decisions and attitudes negatively.
Details
Keywords
Gabriel Cepeda-Carrion, Juan-Gabriel Cegarra-Navarro and Valentina Cillo
Structural equation modelling (SEM) has been defined as the combination of latent variables and structural relationships. The partial least squares SEM (PLS-SEM) is used to…
Abstract
Purpose
Structural equation modelling (SEM) has been defined as the combination of latent variables and structural relationships. The partial least squares SEM (PLS-SEM) is used to estimate complex cause-effect relationship models with latent variables as the most salient research methods across a variety of disciplines, including knowledge management (KM). Following the path initiated by different domains in business research, this paper aims to examine how PLS-SEM has been applied in KM research, also providing some new guidelines how to improve PLS-SEM report analysis.
Design/methodology/approach
To ensure an objective way to analyse relevant works in the field of KM, this study conducted a systematic literature review of 63 publications in three SSCI-indexed and specific KM journals between 2015 and 2017.
Findings
Our results show that over the past three years, a significant amount of KM works has empirically used PLS-SEM. The findings also suggest that in light of recent developments of PLS-SEM reporting, some common misconceptions among KM researchers occurred mainly related to the reasons for using PLS-SEM, the purposes of PLS-SEM analysis, data characteristics, model characteristics and the evaluation of the structural models.
Originality/value
This study contributes to that vast KM literature by documenting the PLS-SEM-related problems and misconceptions. Therefore, it will shed light for better reports in PLS-SEM studies in the KM field.
Details
Keywords
Ignacio Cepeda-Carrión and Gabriel Cepeda-Carrion
The sport consumer experience is becoming an important aspect to sport center’s management. From this point, the purpose of this paper is to explore and examine the relationship…
Abstract
Purpose
The sport consumer experience is becoming an important aspect to sport center’s management. From this point, the purpose of this paper is to explore and examine the relationship between sport centers’ absorptive capacity and sport consumer experience, proposing that internal knowledge management processes act as mediators in this relationship.
Design/methodology/approach
The study offers empirical insights by applying the consistent PLS algorithm (PLSc-SEM) in an analysis of data from 156 sport centers in Andalusia (Spain) and a sample of 3,150 sport users from these sport centers.
Findings
The results demonstrate that a sport center’s absorptive capacity for external knowledge is crucial for enhancing the sport consumer experience and also that this effect requires additional knowledge management, such as the sport center’s knowledge storage and knowledge application.
Practical implications
The practical implication for sport center managers is that knowledge management processes have a very strong influence on the sport consumer experience, when they are managed in a sequential way.
Originality/value
The main value of this paper is draw conclusions using a study of sport managers and sport consumers to increase value experience of those ones.
Details
Keywords
Christian Nitzl, Jose L. Roldan and Gabriel Cepeda
Indirect or mediated effects constitute a type of relationship between constructs that often occurs in partial least squares (PLS) path modeling. Over the past few years, the…
Abstract
Purpose
Indirect or mediated effects constitute a type of relationship between constructs that often occurs in partial least squares (PLS) path modeling. Over the past few years, the methods for testing mediation have become more sophisticated. However, many researchers continue to use outdated methods to test mediating effects in PLS, which can lead to erroneous results. One reason for the use of outdated methods or even the lack of their use altogether is that no systematic tutorials on PLS exist that draw on the newest statistical findings. The paper aims to discuss these issues.
Design/methodology/approach
This study illustrates the state-of-the-art use of mediation analysis in the context of PLS-structural equation modeling (SEM).
Findings
This study facilitates the adoption of modern procedures in PLS-SEM by challenging the conventional approach to mediation analysis and providing more accurate alternatives. In addition, the authors propose a decision tree and classification of mediation effects.
Originality/value
The recommended approach offers a wide range of testing options (e.g. multiple mediators) that go beyond simple mediation analysis alternatives, helping researchers discuss their studies in a more accurate way.
Details
Keywords
Ignacio Cepeda-Carrión, David Alarcon-Rubio, Carlos Correa-Rodriguez and Gabriel Cepeda-Carrion
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…
Abstract
Purpose
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).
Design/methodology/approach
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).
Findings
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.
Originality/value
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.
Details
Keywords
Jerónimo García-Fernández, Silvia Martelo-Landroguez, Luisa Vélez-Colon and Gabriel Cepeda-Carrión
This study aims to analyze the impact and predictive capacity of organizational culture on both customer loyalty and organizational performance in health clubs using data from…
Abstract
Purpose
This study aims to analyze the impact and predictive capacity of organizational culture on both customer loyalty and organizational performance in health clubs using data from managers and customers of health clubs in Spain.
Design/methodology/approach
A total of 101 managers were asked to measure organizational culture and organizational performance and 2,931 customers were asked to indicate their customer loyalty. The proposed hypotheses were tested and their predictability assessed through PLS-SEM. A composite concept was adopted to analyze the relationships between the different constructs and their indicators.
Findings
The findings suggest that organizational culture has a positive relationship with both customer loyalty and organizational performance. The four main dimensions of organizational culture that influence this relationship are, in order of significance, organizational presence, formalization, atmosphere and service-equipment. The authors’ model has a very good predictive power for both dependent variables.
Originality/value
Customer loyalty is an aspect of health clubs that can be improved. This study highlights the importance of creating a strong organizational culture in health clubs, as it enhances and predicts customer loyalty and organizational performance. Its predictability has already been tested with samples of managers and customers, with the analysis being performed from the perspective of the organization’s management and customer perceptions. This study also contributes to the field of sport management, using a predictive PLS-SEM technique.
研究目的
本论文旨在分析组织文化对于健身俱乐部客户忠诚度和组织绩效的影响力和推导力,以西班牙健身俱乐部经理和客人为研究样本。
研究设计/方法/途径
共有 101 名健身俱乐部经理和 2,931 名客人构成本论文研究样本,分别采集了经理们对于组织文化的态度和健身俱乐部客人们对于客户忠诚度的态度。本论文采用偏最小二乘回归(PLS-SEM)验证假设。本论文借用一个综合概念以分析不同结构和其自变量的关系。
研究结果
组织文化对客户忠诚度和组织绩效有积极促进作用。组织文化的四大维度包括,以影响力排序,组织存在、正规化、氛围、和服务-设备等。本论文模型对于客户忠诚度和组织绩效有很好的推导力。
研究原创性/价值
客户忠诚度是值得健身俱乐部加强的。本论文强调了健身俱乐部中组织文化的重要性,这是因为它增强和促进客户忠诚度和组织绩效。其促进和推导力已经由本论文借用经理和客人的样本,从组织管理者和客户两方面角度,实际验证。本论文采用推导性PLS-SEM方法,还对体育管理领域有着贡献。
关键词
组织文化,推导力,绩效,健身行业,健身俱乐部,PLS-SEM
Details
Keywords
Manuel J. Sanchez-Franco, Gabriel Cepeda-Carrion and José L. Roldán
The purpose of this paper is to analyze the occurrence of terms to identify the relevant topics and then to investigate the area (based on topics) of hospitality services that is…
Abstract
Purpose
The purpose of this paper is to analyze the occurrence of terms to identify the relevant topics and then to investigate the area (based on topics) of hospitality services that is highly associated with relationship quality. This research represents an opportunity to fill the gap in the current literature, and clarify the understanding of guests’ affective states by evaluating all aspects of their relationship with a hotel.
Design/methodology/approach
This research focuses on natural opinions upon which machine-learning algorithms can be executed: text summarization, sentiment analysis and latent Dirichlet allocation (LDA). Our data set contains 47,172 reviews of 33 hotels located in Las Vegas, and registered with Yelp. A component-based structural equation modeling (partial least squares (PLS)) is applied, with a dual – exploratory and predictive – purpose.
Findings
To maintain a truly loyal relationship and to achieve competitive success, hospitality managers must take into account both tangible and intangible features when allocating their marketing efforts to satisfaction-, trust- and commitment-based cues. On the other hand, the application of the PLS predict algorithm demonstrates the predictive performance (out-of-sample prediction) of our model that supports its ability to predict new and accurate values for individual cases when further samples are added.
Originality/value
LDA and PLS produce relevant informative summaries of corpora, and confirm and address more specifically the results of the previous literature concerning relationship quality. Our results are more reliable and accurate (providing insights not indicated in guests’ ratings into how hotels can improve their services) than prior statistical results based on limited sample data and on numerical satisfaction ratings alone.
Details
Keywords
Misty Sabol, Joe Hair, Gabriel Cepeda, José L. Roldán and Alain Yee Loong Chong
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Practical implications
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.
Originality/value
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.