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Partial least squares structural equation modeling (PLS-SEM) has become popular in the information systems (IS) field for modeling structural relationships between latent variables as measured by manifest variables. However, while researchers using PLS-SEM routinely stress the causal-predictive nature of their analyses, the model evaluation assessment relies exclusively on criteria designed to assess the path model's explanatory power. To take full advantage of the purpose of causal prediction in PLS-SEM, it is imperative for researchers to comprehend the efficacy of various quality criteria, such as traditional PLS-SEM criteria, model fit, PLSpredict, cross-validated predictive ability test (CVPAT) and model selection criteria.

A systematic review was conducted to understand empirical studies employing the use of the causal prediction criteria available for PLS-SEM in the database of Industrial Management and Data Systems (IMDS) and Management Information Systems Quarterly (MISQ). Furthermore, this study discusses the details of each of the procedures for the causal prediction criteria available for PLS-SEM, as well as how these criteria should be interpreted. While the focus of the paper is on demystifying the role of causal prediction modeling in PLS-SEM, the overarching aim is to compare the performance of different quality criteria and to select the appropriate causal-predictive model from a cohort of competing models in the IS field.

The study found that the traditional PLS-SEM criteria (goodness of fit (GoF) by Tenenhaus, R2 and Q2) and model fit have difficulty determining the appropriate causal-predictive model. In contrast, PLSpredict, CVPAT and model selection criteria (i.e. Bayesian information criterion (BIC), BIC weight, Geweke–Meese criterion (GM), GM weight, HQ and HQC) were found to outperform the traditional criteria in determining the appropriate causal-predictive model, because these criteria provided both in-sample and out-of-sample predictions in PLS-SEM.

This research substantiates the use of the PLSpredict, CVPAT and the model selection criteria (i.e. BIC, BIC weight, GM, GM weight, HQ and HQC). It provides IS researchers and practitioners with the knowledge they need to properly assess, report on and interpret PLS-SEM results when the goal is only causal prediction, thereby contributing to safeguarding the goal of using PLS-SEM in IS studies.

This study aims to provide a response to calls for research on the consequences of technostress among employees in smart hotels. Based on the person–environment fit and job demands–resources theories, the authors offer a theoretical framework and investigate how factors affect employees’ well-being and performance. Further, the authors investigate the moderating effects of organizational learning on the relationship between technostress and employee well-being and performance.

The authors developed and empirically tested a research model based on a survey of 454 respondents in China. The effect of technostress was analyzed by applying the use of partial least squares structural equation modeling.

The results support that technostress negatively affects employee well-being (e.g. engagement and overall well-being) and performance. Employee well-being mediates the relationship between technostress and performance. Organizational learning has a countervailing moderating impact on employee well-being and performance. Specifically, organizational learning significantly counteracts the relationship between technostress and performance while significantly exacerbating the relationship between technostress and engagement.

This study contributes to an enhanced understanding of technostress in smart hotels and provides practical recommendations for assisting hotel managers in improving employee well-being and performance.

This work represents an early attempt to investigate the impact of technostress on employee well-being and performance in smart hotels. The countervailing moderating effect of organizational learning on employee engagement and performance is identified. In addition, this study is an initial attempt at estimating the predictive contribution of the mediating effects of employee engagement and overall well-being in the relationship between technostress and employee performance in smart hotels.

这项研究响应了对研究智能酒店员工存在的技术压力的号召。基于人与环境的契合和工作需求——资源理论, 我们提供了一个理论框架并调查如何影响员工的幸福感和绩效的因素。此外, 我们调查了组织学习对技术压力以及员工福利和绩效关系的调节作用。

我们开发并实证检验了一项基于对中国 454 名受访者的调查的研究模型。通过应用偏最小二乘结构方程模型对技术压力的影响进行分析。

结果显示技术压力对员工幸福感产生负面影响（例如, 参与度和整体幸福感）和绩效。员工幸福感对技术压力和绩效之间的关系有显著中介作用。组织学习对员工的幸福感和表现起到了抵消性的调节作用。具体而言, 组织学习显着抵消了技术压力和绩效之间的关系, 同时显着增加技术压力和参与度之间的关系。

本研究有助于加深对智能酒店技术人员的理解并提供实用建议以协助酒店管理人员改善员工福利和表现。

这项研究代表了技术压力对智能酒店员工福利和绩效影响的早期尝试。本论文确定了组织学习在员工参与度和工作表现关系之间的抵消调节作用。此外, 这项研究是探索智能酒店员工参与度以及整体幸福感在技术压力与员工绩效之间关系的中介效应的初步尝试。

Highlighting supplier collaboration is a widely adopted practice in tea shops, cafes and other related businesses. However, few studies have examined the effects of supplier-focused food ingredient presentation on consumers' behavioral intentions in food and hospitality research. This study identified the role of restaurant–supplier co-creation and explored its effects on clients' behavioral intention through both value perception and image.

This study developed and tested a model through a survey with 365 responses, which was carried out in China. The measurement and effects of restaurant–supplier co-creation are explored using composite-based structural equation modeling.

The results show that restaurant–supplier co-creation has a positive effect on perceptions of food value, service value and image. Though restaurant–supplier co-creation does not directly affect behavioral intention, it can enhance behavioral intention by improving customers' impressions.

This study contributes to the emerging literature by conceptualizing the role of restaurant–supplier co-creation. The research combines image theory and perceived value theory in one empirical model to explore the effects of co-creation. The project provides a paradigm for designing technical artifacts using composite-based structural equation modeling.

Green supply chain management is an effective, environment-friendly business practice. Based on institutional theory and dynamic capability theory, the study examines the effect of institutional pressures to implement green supply chain management (GSCM) on green innovation, by considering the mediation effects of cross-functional coopetition.

This study conducted a survey of Chinese companies and collected 1,481 responses. The effects of institutional pressures for GSCM implementation were analyzed using partial least squares structural equation modeling (PLS-SEM).

This study finds that coercive pressure, normative pressure and mimetic pressure for GSCM implementation are sufficient conditions to promote green innovation. Normative and mimetic pressures have significant positive effects on cross-functional coopetition. Cross-functional coopetition not only mediates the relationship between normative pressure and mimetic pressure and green innovation but also represents a necessary condition for it to occur.

First, managers should comprehend environmental regulations, embrace social norms on the environment and focus on competitors' successful GSCM practices. Second, management can organize training and establish performance-based rewards for enhancing a cross-functional coopetitive mindset to effectively respond to institutional pressures. Third, companies should establish multi-functional groups and informal networking via social events to motivate interaction, knowledge sharing and creative tension to achieve green innovation.

This paper expands the application of institutional theory to investigate the antecedent effects of institutional pressures on cross-functional coopetition. In addition, the study deepens understanding of dynamic capability theory in analyzing dynamic processes of cross-functional coopetition based on three dimensions of sensing, seizing and reconfiguring and empirically examines its mediating effects on institutional pressures and green innovation.

An organization’s competitive advantage can be strengthened if they are able to identify highly creative individuals. In fact, organizational success in the 21st century may depend upon a firm’s ability to identify highly creative individuals who are able to develop novel and useful ideas, which are the outcome of creativity. The authors posit that Information Technology (IT) plays a significant role in creativity.

Applying the componential view of creativity, the authors propose the theoretically-derived concept of Individual IT Creativity (IITC). Utilizing a 5-phase methodology, the authors provide a theoretically-derived and rigorously-validated measure of IITC.

This study demonstrates that IITC is manifested in individuals who (1) possess IT expertise; (2) are motivated by IT tasks and (3) exhibit IT creativity-relevant processes. The authors then develop a scale to measure IITC and examine IITC within a broader nomological network.

This study facilitates the investigation of new streams of research into IITC, including new possible outcomes in addition to IT acceptance.

The purpose of this research is to develop an alternative method of measuring out‐patient satisfaction where satisfaction is the central construct. The Gap Model operationalized by SERVQUAL is widely used to measure service quality. However, the SERVQUAL instrument only measures expectations (resulting from the pre‐process segment of the service experience) and perceptions (resulting from the post‐process segment). All three segments should be measured. The lack of proper segmentation and methodological criticisms in the literature motivated this study.

A partial least squares (PLS) approach, a form of structural equation modeling, is used to develop a framework to evaluate patient satisfaction in three service process segments: pre‐process, process, and post‐process service experiences.

Results indicate that each process stage mediates subsequent stages, that the process segment is the most important to the patient and that the antecedents have differing impacts on patient satisfaction depending where in the process the antecedent is evaluated.

Only one out‐patient surgery center was evaluated. Patient satisfaction criteria specific to hospital selection are not included in this study.

Results indicate what is important to patients in each service process segment that focus where ambulatory surgery centers should allocate resources.

This study is the first to evaluate patient satisfaction with all three process segments.

This paper's aim is to evaluate the effect of the use of information technology and communications (ITC) on the international competitiveness of firms in developing countries. The study also seeks to evaluate other factors that allow or condition the use of ITC such as: human resources, collaboration of the industrial sector, and local environment.

These effects are examined through an empirical research of 100 small to medium‐sized enterprises (SMEs) from a developing country – Peru.

SMEs from developing countries follow an isomorphic approach. This is because they tend to imitate or copy the better practices from developed countries. The results have shown that ITCs have a positive effect on the international competitiveness of firms.

A limitation is the cross‐sectional character of this research.

Firms use ITC to manage their inventory, for the communication between manufacturers and offices, and suppliers, for bill payments, and for the management of sales and marketing, and for the management of their networks.

According to the literature reviewed, this study is one of the pioneers in contrasting empirically whether the use of ITC contributes positively to the international competitiveness of firms in the developing countries of Latin America.

Despite the positive effects of customer capital (CC), questions remain over how managers enable CC growth by applying their skills and capabilities through managerial actions and strategies, such as developing information technology (IT) capability, fostering relationship learning (RL) activities and developing green innovation performance (GIP) with clients. These questions are especially pertinent in small and medium-sized enterprises and automotive industry companies that operate through supply chains, where knowledge about customers is likely to result from personal contact between customers and organisational members. The purpose of this paper is to analyse the extent to which these managerial actions were more likely to lead to the successful creation of CC.

Using the partial least squares technique, this paper studies how these three managerial actions impact on CC. To do so, data from 140 companies in the Spanish automotive components manufacturing sector have been used.

The findings support the influence of RL on both GIP and CC. RL is a key managerial action in exploiting customer information and knowledge advantages, enabling firms to structure and reconfigure resources to produce new ways to compete and to satisfy stakeholders. In addition, results show that GIP is a determinant of CC because of its contribution to achieving sustainable competitive advantage, with GIP performing a mediating role in the relationship between RL and CC. A second contribution shows that IT is not in itself able to yield a competitive advantage, thereby validating the existence of complementary or co-focused strategic assets such as RL and GIP, which enhance IT’s influence on CC.

The authors were unable to explore the subtleties of the processes over time. Future research should include a longitudinal study.

This study considers RL an essential factor in achieving both GIP and CC. Consequently, managers should seek to build strong RL cultures. In addition, this study shows that IT is not in itself able to yield a competitive advantage, thereby validating the existence of complementary or co-focused strategic assets such as RL and GIP.

No study has ever examined these three antecedent variables (IT, RL and GIP) together, with the aim to examine their effects on CC.

The purpose of this paper is to develop and test a series of conceptual models that investigates the impact of management accounting (MA) (systems and information) on firms’ structural capital and business performance. It also replicates previous research in this area which focused on the interplay between the three primary elements of intellectual capital (IC) (i.e. human capital, structural capital and relational capital) and business performance.

A survey instrument was used to collect the data required to conduct the study. All respondents who participated occupied the role of chief financial officer or equivalent and were employed by firms competing within the indigenous Irish information and communications technology sector. Consistent with prior quantitative IC-based research, a form of structural equation modelling called partial least squares was used to test the data collected.

The findings reject the suggestion that MA is most appropriately situated as an element of firms’ structural capital. The findings support a plausible and statistically significant relationship between advanced MA systems and business performance. The findings also generally support previous research on the relationship between the three elements of IC and business performance.

Although much has been written about the potential role for MA in the IC area, little empirical evidence has yet emerged. This exploratory research begins to address this deficiency by developing and testing a series of MA-related constructs within the IC research domain.

China’s economy is transforming at a brisk pace. A partially dismantled command economy and introduction of competition have fueled consumer demand for a greater selection of innovative new products in the retail market. The challenge for retail buyers is to adjust their procurement processes to respond to consumer needs in an efficient and effective manner. This study examines factors influencing buyer‐supplier relationships in a transition economy. We present a model to explain the factors driving retail buyer dependence on suppliers. We find that retailer evaluation of supplier credibility mediates the relationship between retailer perceptions of a supplier ability to add value to its business and the ability to achieve its desired goals. In part, this is due to the supplier’s market orientation. Interestingly, guanxi ties have no impact on the retailer perceptions of the supplier credibility, but have a positive affect on retailer dependence on its supplier partners.