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This study examines the effects of both technological and non-technological innovations on the overall performance of Indian manufacturing firms, and identifies the mediation and synergy effects in the relationship between innovation and performance.

The study applies the partial least squares structural equation modelling (PLS-SEM) technique using Smart PLS3 on a combined data set from the World Bank Enterprise Survey and the follow-up Innovation Survey for India in 2014. Different newly developed statistical tests [PLS predict, importance performance map analysis (IPMA), multi-group analysis (MGA) and confirmatory tetrad analysis PLS (CTA-PLS)] have been used to check the robustness of the empirical results.

The results of the study suggest that technological innovations (product and process innovation) significantly affect a firm's overall performance, and that innovation strategy significantly mediates the effects, whereas the effects of non-technological innovations (marketing and organisational innovation) on a firm's performance are fully mediated by innovative performance. IPMA results suggest that technological innovations and their respective strategies are very important in improving a firm's performance, whereas non-technological innovations have great importance for increasing the innovative performance of the firms. The MGA results suggest that there are several distinctions in the path relationship and mediation effect among a firm's segment based on technology intensity and firm size. The study results do not find that innovation types have significant synergy effects on a firm's performance.

The study results suggest that managers should focus on technological innovations, along with their respective strategies to improve the overall performance of a firm, whereas non-technological innovations should be given priority for increasing the firm's innovative performance. Moreover, while making policy regarding innovation the people concerned should bear in mind which segment of the firms they are dealing with, as the effects differ across a firm's technology-intensity and size.

The study applied the stimulus–organism–response (S–O–R) framework to investigate the influence of flow elements (e.g. perceived control, concentration and cognitive enjoyment) on artificial intelligence (AI)-enabled e-tail services in evoking awe experience in online fashion apparel context.

Data of 739 active users of online fashion retail shoppers were collected using Amazon Mechanical Turk (MTurk). Partial least square-structural equation modeling was used for analysis.

This study suggested the relevance of AI-enabled services in evoking flow and stimulating the customers' awe experience in online fashion shopping.

The use of AI could help online fashion retailers to improve the experiential elements by using stimuli that evoke feelings of vastness, novelty and mysticism.

The study offers insights about the relevance and applicability of AI in enhancing the flow elements and awe experience on online fashion apparel shopping in an emerging economy.

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.

The significant role of universities in generating and diffusing new knowledge in the interest of society has positioned faculty as knowledge creators. The present study contributes to the domain of positive psychology by heeding the happiness call in academia. The research intends to develop and validate a scale for measuring happiness at work (HAW) for knowledge creators.

The study is systematically designed across a series of four independent studies: (1) Dimensionality and item analysis, (2) scale purification, (3) scale refinement and nomological validation and (4) generalizability. Additionally, common method bias (CMB) was checked utilizing the marker variable technique.

HAW has been established as a second-order reflective-reflective construct with six factors, namely work satisfaction, self-directedness, self-love, positive thinking, positive social relationships and work-family balance. The nomological validity and generalizability of the scale have also been established.

The study is an attempt to address an important topic of HAW among knowledge creators. By conceptualizing HAW as a combination of intraindividual and organizational factors, this study offers a comprehensive measure of HAW that was previously absent in the literature. The results of the study will assist management in making strategic decisions to ensure the HAW of knowledge creators.

Knowledge creators’ happiness is a major concern in academia and has received little attention till date. The primary contribution of this study is the conceptualization and development of a validated scale for measuring knowledge creators’ HAW. A valid and reliable scale for measuring HAW would enable researchers to gain fresh perspectives on the essence, attributes and quantification of this particularly noteworthy construct.

The purpose of this study is to test the interrelationships of green human resource management (GHRM), job embeddedness (JEM), green promotive voice behavior and green prohibitive voice behavior. It assesses JEM as a mediator of the link between GHRM and the aforesaid green voice behavioral consequences.

Data obtained from the employees of 11 restaurants in Northern Cyprus were used to gauge the said relationships via the partial least squares structural equation modeling.

GHRM boosts employees’ JEM. Employees high on JEM exhibit green promotive and prohibitive behaviors at elevated levels. JEM is the psychological mechanism relating GHRM to green work outcomes.

Restaurateurs should create an environment that enables employees to speak up and share their opinions on the problems and challenges concerning the environmental sustainability and green initiatives of the restaurant. In addition, they should develop and maintain good relations with employees via GHRM practices. These are important implications that would promote eco-friendly behaviors among employees.

This paper focuses on JEM, green promotive voice behavior and green prohibitive voice behavior as the neglected outcomes of GHRM. That is, there is no empirical evidence reporting that GHRM fosters employees’ JEM. This is also true for JEM as a mediator linking GHRM to the aforementioned dimensions of green voice behavior. With this stated in mind, this study fills in these gaps.

The study aims to examine the mediating effects of escapism (ESC) and ethnic food experience (EFE) in the relationship between diversity (DIV) and behavioral intentions (BI) of visitors attending Hoi An International Food Festival held in Vietnam.

The research takes a predictive and explanatory approach rather than theory confirmation. Partial least squares (PLS) algorithm was used to analyze multiple mediation. The data were collected from 323 attendees through a self-administered questionnaire.

The research highlights that escapism and EFE have positive and significant mediating effects on the relationship between DIV and BI. Furthermore, while EFE is the most important predictor of BI, escapism has emerged as an antecedent variable that deserves to be given the highest importance. Finally, visitors who are participating in their first international food festival do not seem to consider the nexus between DIV and ESC as much as repeaters.

The study's limitations include the collection of data from a single festival and the fact that the analyses are only quantitative. The results contribute to festival organizers by revealing the importance of multiple mediation roles.

This study contributes novel insights to the literature on festival and event management, extending previous studies and filling a gap by proposing ESC and EFE as multiple mediators in the nexus between DIV and BI. The present study provides a comprehensive examination of the influence of individual variables previously analyzed separately on festival-goers' experiences. This facilitated the identification of crucial aspects of the circumstance, thereby reducing any ambiguity.

Previous research has been unable to provide a comprehensive method for measuring environment-based experience and its outcomes although it is an essential determinant of the museum experience. Therefore, this paper aims to present a measurement method for exploring how visitors’ servicescape experiences affect their positive word-of-mouth intention (PWOM).

Data were collected by surveying 810 visitors to 3 museums (i.e. Louvre, Pera and Key) representing different museum types. The research model was validated by using partial least squares structural equation modeling.

The predicted associations between sensory, spatial and social experiences, and PWOM were confirmed for Pera. In the Louvre and Key, however, only sensory and social experiences were positively associated with PWOM. In addition, the moderating effect of building type on the relationship between spatial experience and PWOM was demonstrated.

This paper contributes to the servicescape, customer experience and museum literature in several ways. Firstly, this study proposes a measurement method for servicescape experiences. Secondly, this study introduces servicescape experiences as new types of customer experience. Thirdly, this study provides insightful implications for the museum literature and professionals by highlighting how servicescape experiences affect PWOM across different types of museums.

The partial least squares structural equation modeling (PLS-SEM) approach for construction management (CM) scholars has become the preferred approach for its capability of assessing the complex relationship and relaxed normality and sample size assumptions. This paper systematically maps the structure of knowledge about PLS-SEM in CM using bibliometric analysis. Also, the study employs meta-analysis to explore how data and model characteristics, model evaluation and advanced modeling techniques have been utilized in the CM domain.

This study integrated two methods: bibliometric analysis on a sample of 211 articles identified using the PRISMA framework and meta-analysis on 163 articles identified based on the availability of full-length articles and relevant information.

The results revealed the leading knowledge formation entities (countries, institutions, authors, sources and documents). Also, the study employs full content analysis to identify six research themes, and meta-analysis is used to explore the use of PLS-SEM based on the following criteria: (1) reasons for using PLS-SEM in CM, (2) data characteristics, (3) model characteristics and evaluation and (4) use of advanced modeling and analysis techniques. Further, the study uses regression analysis and identifies “advanced modeling and analysis techniques” as the critical feature responsible for the publication in a journal with high scientific prestige. Finally, the study presented the comprehensive guidelines to be used by construction management scholars who wish to use PLS-SEM in their research work.

To the author’s knowledge, it is the first study of this kind to use PLS-SEM in CM research. This study provides an extensive analysis of the Scopus database and an in-depth review of the data characteristics, model characteristics and use of advanced modeling techniques in CM research.

This study aims to identify the effects of innovation types on the service firm’s financial and nonfinancial performance as well as mediation and moderation effects of innovation and the firms’ performance linkages in the Indian service sector.

This study uses combined data from the World Bank innovation survey 2014 and World Bank enterprise survey (WBES) 2014 for India. It classified innovations into technological innovation (service and process) and nontechnological innovation (organizational and marketing) and used financial and nonfinancial performance measures. This study applies variance-based partial least square structural equation modeling (PLS-SEM) using Smart PLS 3 software.

The study results suggest that service innovation has the highest significant effect on a firm’s financial and nonfinancial performance, followed by process innovation. Marketing and organizational innovation have a long route to contribute to a firm’s financial performance via innovative and nonfinancial performance. The study results do not find any synergy effects of innovation types. Multi-group analysis (MGA) results suggest several significant distinctions in the path relationships between small and medium-sizes and large firms.

This study provides several crucial policy suggestions for the managers and policymakers concerning the effects of service and process innovation on service firms’ performance in India and the mediating factors of these relationships. The study suggests that managers should pay the highest importance to service innovation to swiftly and markedly surge service firms’ financial and nonfinancial performances. In contrast, a service firm’s innovative performance mainly results from its organizational and marketing innovations.

In spite of the increased interest of academics, there has not been a thorough examination of the actors and factors of accessible tourism (AT) development. The purpose of this study is to investigate the relationships between stakeholders’ attitudes, collaborative intervention and corporate sustainability and responsibility (CS&R) and the implementation of accessible tourism (IAT).

Focus group discussion, an expert content validity test and structural equation modelling were all used as part of a mixed-methods approach. At the longest sea beach in the world, located in Bangladesh, data was collected from the tourism stakeholders using an on-site questionnaire survey.

Stakeholders’ attitude is significantly related to their collaborative intervention, but accessibility inclusive corporate substantiality and responsibility (AICSR) mediates the relationships between attitude and implementation, as well as collaborative intervention and implementation. As a result, AICSR is identified as a key driver in the IAT.

Purposive sampling was used to select stakeholders from Bangladesh’s most popular tourist destination. Nonetheless, the statistically valid model of this exploratory study can be tested for generalization in other contexts with a large sample size. The findings will bring diverse stakeholders to light and encourage barrier-free tourist growth that could improve the destinations’ comparative advantage and competitiveness.

This study is, to the best of the authors’ knowledge, one of the first studies to use rigorous quantitative methods to investigate AT implementation with a focus on CS&R. It adds to the existing AT literature by providing a scale and model of IAT while highlighting the extent to which AT can be implemented within CS&R.

尽管学术界对无障碍旅游发展的参与者和因素越来越感兴趣, 但还没有相关研究对此领域进行彻底的调查。本研究的目的是调查利益相关者的态度、协作干预、企业可持续性和责任 (CS&R) 与实行无障碍旅游 (IAT)之间的关系。

本文采用的混合研究方法包括了焦点小组讨论、专家内容有效性测试和结构方程模型 (SEM)。在位于孟加拉国的世界上最长的海滩上, 我们通过现场问卷调查从旅游利益相关者那里收集了数据。

利益相关者的态度与其协作干预显著相关, 但企业可持续性和责任的无障碍包容性（AICSR）在态度与实施以及协作干预与实施之间的关系中起中介作用。因此, AICSR 被确定为实施无障碍旅游的关键驱动力。

立意抽样法用于从孟加拉国最受欢迎的旅游目的地选择利益相关者。尽管如此, 该探索性研究的统计有效模型可以在具有大样本量的其他情况下进行泛化测试。调查结果将揭示不同的利益相关者, 并鼓励无障碍的旅游增长, 从而提高目的地的比较优势和竞争力。

本文是最早以CS&R为重点, 使用严格的定量方法调查实行无障碍旅游的研究之一。它通过提供 IAT 的规模和模型来补充现有的无障碍旅游文献, 同时强调无障碍旅游可以在 CS&R 中实施的程度。

A pesar del creciente interés de los académicos, no se han examinado a fondo los actores y factores del desarrollo del turismo accesible. El propósito de este estudio es investigar las relaciones entre las actitudes de los actores, la intervención colaborativa y la sostenibilidad y responsabilidad corporativa (RSC) y la implementación del turismo accesible (ITA).

El estudio utiliza un enfoque de métodos mixtos que incluye una discusión de grupo focal, una prueba de validez de contenido de expertos y un modelo de ecuaciones estructurales (MEE). En la playa marítima más larga del mundo, situada en Bangladesh, se recogieron datos de los agentes turísticos mediante una encuesta con cuestionario in situ.

La actitud de las partes interesadas está significativamente relacionada con su intervención colaborativa, pero la sustancialidad y la responsabilidad corporativa inclusiva de la accesibilidad (SRCIA) media las relaciones entre la actitud y la implementación, así como la intervención colaborativa y la implementación. Como resultado, la SRCIA se identifica como un factor clave en la implementación del turismo accesible.

Se utilizó un muestreo discrecional para seleccionar a las partes interesadas del destino turístico más popular de Bangladesh. No obstante, el modelo estadísticamente válido de este estudio exploratorio puede probarse para su generalización en otros contextos con una muestra grande. Las conclusiones mostrarán diversos grupos de interés y fomentarán el crecimiento del turismo sin barreras que podría mejorar la ventaja comparativa y la competitividad de los destinos.

Se trata de uno de los primeros estudios que utilizan métodos cuantitativos rigurosos para investigar la implantación del turismo accesible centrándose en la RSC. Contribuye a la bibliografía existente sobre turismo accesible al proporcionar una escala y un modelo de ITA, al tiempo que pone de relieve hasta qué punto se puede implementar el turismo accesible dentro de la RSC.