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This research paper investigates the efficacy of artificial intelligence (AI)-powered Chatbot's in enhancing user engagement and satisfaction within various contexts. As organizations increasingly deploy Chatbot's to interact with users, understanding their impact on user experience becomes imperative. The study employs Smart partial least squares (PLS) as a robust analytical tool to assess the multifaceted dimensions of AI-powered Chatbot interactions. The research focuses on user engagement, examining the Chatbot's ability to captivate users and sustain their interest throughout interactions. Additionally, user satisfaction is explored to gauge the overall effectiveness of the Chatbot in meeting user expectations. The proposed model integrates key variables, including the Chatbot's responsiveness, conversational abilities, and problem-solving capabilities, to comprehensively evaluate its impact. The methodology involves collecting data from diverse user groups to ensure a representative sample. Smart PLS, a powerful structural equation modeling technique, is employed to analyze the relationships between the identified variables. The findings are expected to contribute valuable insights into the factors influencing user engagement and satisfaction in the context of AI-powered Chatbots. The implications of this research extend beyond theoretical understanding, offering practical recommendations for organizations seeking to optimize their Chatbot implementations. By leveraging Smart PLS, this study aims to provide a nuanced understanding of the intricate dynamics involved in AI-powered Chatbot interactions, ultimately guiding the development and deployment of more effective and user-centric conversational agents.

This study aims to identify the librarians’ readiness to leverage artificial intelligence for sustainable competence development and smart library services.

This study used a quantitative research design for addressing the objectives. The population consisted of librarians from the public and private sector universities of Pakistan. The data were analyzed by using Smart PLS software.

The analysis consisted of two major parts: first the assessment of measurement model and second the structural equation modeling analysis. A significant positive impact of AI adoption was found on the implementation smart library services. Findings revealed that behavioral intention motivated librarians to adopt AI tools in university libraries for the delivery of smart library services.

We applied quantitative method to carry out the study while future authors may conduct a systematic literature review on the same topic for offering a broader outlook.

It has provided practical contributions by providing a baseline for management bodies to construct policies for the successful adoption of AI in libraries for sustainable competence development of practicing librarians and implementation of smart library services.

The study has social implications too as AI integrated library services prove fruitful for society and digitally skilled librarians play a vital role for the promotion of reading and research culture in society.

To the best of the authors’ knowledge, this is the first study on librarians’ readiness to leverage artificial intelligence for the enhancement of digital literacy skills, sustainable competence development and smart library services in the context of Pakistan.

In contrast to existing studies, this paper aims to propose that digital transformation does not depend on a single condition; rather, it depends on the interaction between internal and external factors of a firm. Therefore, the aim of this paper is to examine the effect of a combination of internal and external factors on a firm's digital transformation intention.

An empirical analysis on a sample of 112 Chinese small- and medium-sized firms was conducted by applying smart-PLS and fuzzy set qualitative comparative analysis (fsQCA).

The results of smart PLS show that external pressures (institutional and market pressures) and human capital have a positive impact on corporate digital transformation intentions. From a combination perspective, the results of the fsQCA show that there are five causal conditions that lead to high digital transformation intention. In contrast to the net effect, the results of fsQCA show that different combinations of states of internal (human capital, organizational culture and technological capital) and external elements (institutional and market pressures) of the firm are likely to stimulate digital transformation intention.

This study provides empirically based insights into firms' digital transformation intentions and advances the current understanding of the drivers and inhibitors of digital transformation. Unlike most current research, which tends to focus on the net effect of factors influencing the digital transformation of enterprises, this study focuses on identifying the core elements influencing enterprises' digital transformation intention, especially the joint effect of different factors, both internal and external to the enterprise. The combined SEM and fsQCA findings of this paper not only enrich the existing theories on digital transformation but also have high value in guiding the digital transformation of firms.

This study aims to examine the relationships between brand-specific transformational leadership (TFL), employer branding and employee-based brand equity (EBBE) in the business-to-business (B2B) context. Additionally, the study investigates the mediating role of employer branding in the relationship between brand-specific TFL and EBBE, shedding light on the mechanisms through which brand-specific leaders impact EBBE via employer branding initiatives.

The study takes a quantitative approach. Data collection was conducted using a questionnaire in B2B service sectors. The PLS method was applied in Smart PLS (V. 3.0) to test the established relationships between constructs.

The findings reveal significant positive associations between brand-specific TFL and employer branding, as well as between employer branding and EBBE. The relationship between brand-specific TFL and EBBE is partial mediated by employer branding.

This study contributes to theoretical understanding by advancing knowledge on the mechanisms driving EBBE within B2B firms. It offers practical insights for managers and researchers by highlighting the importance of leadership and employer branding strategies in enhancing EBBE in the B2B context.

Este estudo examina as relações entre a liderança transformacional específica de marca (TFL), employer branding e employee-based brand equity (EBBE) no contexto business-to-business (B2B). Além disso, o estudo investiga o papel mediador do employer branding na relação entre TFL específica de marca e EBBE, elucidando os mecanismos pelos quais os líderes impactam o EBBE por meio de iniciativas de employer branding.

O estudo adota uma abordagem quantitativa. A coleta de dados foi realizada utilizando um questionário no setor de serviços B2B. O método PLS foi aplicado no Smart PLS (V. 3.0) para testar as relações estabelecidas entre os construtos.

Os resultados revelam associações positivas significativas entre TFL específica de marca e employer branding, bem como entre employer branding e EBBE. A relação entre TFL específica de marca e EBBE é parcialmente mediada por employer branding.

Este estudo contribui para a compreensão teórica ao avançar o conhecimento sobre os mecanismos que impulsionam o EBBE dentro das empresas B2B. Oferece insights práticos para gestores e académicos ao destacar a importância das estratégias de liderança e employer branding na melhoria do EBBE no contexto B2B.

Este estudio examina las relaciones entre el liderazgo transformacional específico de marca (TFL), employer branding y employee-based brand equity (EBBE) en el contexto business-to-business (B2B). Además, el estudio investiga el papel mediador del employer branding en la relación entre TFL específico de marca y EBBE, elucidando los mecanismos mediante los cuales los líderes impactan el EBBE a través de iniciativas de employer branding.

El estudio adopta un enfoque cuantitativo. La recolección de datos se realizó utilizando un cuestionario en los sectores de servicios B2B. Se aplicó el método PLS en Smart PLS (V. 3.0) para probar las relaciones establecidas entre los constructos.

Los resultados revelan asociaciones positivas significativas entre TFL específico de marca y employer branding, así como entre employer branding y EBBE. La relación entre TFL específico de marca y EBBE es parcialmente mediada por employer branding.

Este estudio contribuye a la comprensión teórica al avanzar en el conocimiento sobre los mecanismos que impulsan el EBBE dentro de las empresas B2B. Ofrece perspectivas prácticas para gestores y académicos al destacar la importancia de las estrategias de liderazgo y employer branding en la mejora del EBBE en el contexto B2B.

Language barriers have always been obstacles to traveling abroad, making travelers less interested. This study aims to investigate how ChatGPT, as a translator, affects travelers’ behavioral intentions based on the perceived language barriers using the ChatGPT voice translation app.

A total of 531 responses were collected over a specific survey period using a cross-sectional time frame. This study proposed a research model based on technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT), and the proposed hypotheses were investigated using bootstrapping techniques and Smart-PLS analysis.

This study’s results are significant as they reveal that ChatGPT enables translated service to travelers and enhances their willingness to travel abroad. This finding indicates a considerable enhancement in the traveler’s confidence in communicating with residents, thereby emphasizing ChatGPT’s pivotal role in overcoming language barriers in the travel industry.

This research is novel in its approach as it delineates the influence of ChatGPT’s translation services on travelers’ willingness and behavioral intentions regarding international travel. By filling a significant gap in the existing literature, this study provides a fresh perspective on the role of technology in overcoming language barriers in the travel industry.

语言障碍一直是出国旅行的障碍, 使旅行者不太感兴趣。本研究调查了作为翻译工具的ChatGPT, 基于ChatGPT语音翻译应用程序感知到的语言障碍, 如何影响旅行者的行为意图。

使用横断面时间框架共收集了531份调查问卷。本研究提出了一个基于TAM和UTAUT的研究模型, 并使用bootstrapping技术和Smart-PLS分析对提出的假设进行了研究。

该研究结果具有重要意义, 因为它们揭示了ChatGPT可以为旅行者提供翻译服务, 并增强了他们出国旅游的意愿。这一发现表明旅行者与当地居民沟通的信心大大增强, 从而强调了ChatGPT在克服旅游行业语言障碍方面的关键作用。

本研究在方法上是新颖的, 讨论了ChatGPT翻译服务对旅行者国际旅行意愿和行为意图的影响。本研究为了解技术在克服旅行语言障碍方面的作用提供了一个新的视角, 填补了相关研究缺口。

Las barreras lingüísticas han sido siempre un obstáculo para viajar al extranjero, lo que ha restado interés a los viajeros. Este estudio investiga cómo ChatGPT, como traductor, afecta a las intenciones de comportamiento de los viajeros en función de las barreras lingüísticas percibidas utilizando la aplicación de traducción de voz ChatGPT.

Se recogieron un total de 531 respuestas a lo largo de un periodo de encuesta específico utilizando un marco temporal transversal. Este estudio propuso un modelo de investigación basado en Modelo de Aceptación de la Tecnología (TAM) y Modelo Unificado de Aceptación y Uso de Tecnología (UTAUT), y las hipótesis propuestas se investigaron mediante técnicas de bootstrapping y análisis Smart-PLS.

Los resultados de este estudio son significativos, ya que revelan que ChatGPT permite ofrecer un servicio traducido a los viajeros y aumenta su disposición a viajar al extranjero. Este hallazgo indica una mejora considerable de la confianza del viajero a la hora de comunicarse con los residentes, lo que subraya el papel fundamental de ChatGPT para superar las barreras lingüísticas en el sector de los viajes

Esta investigación es novedosa en su planteamiento, ya que describe la influencia de los servicios de traducción de ChatGPT en la disposición y las intenciones de comportamiento de los viajeros respecto a los viajes internacionales. Al llenar una laguna importante en la literatura existente, este estudio aporta una nueva perspectiva sobre el papel de la tecnología en la superación de las barreras lingüísticas en el sector de los viajes.

This research aimed to determine the mediating effect of entrepreneurial self-efficacy on the relationship between entrepreneurial passion and leadership styles. Two hundred hardware and footwear entrepreneurs from the Las Malvinas Commercial Emporium, Lima, Peru were surveyed. The partial least squares structural equation modelling (PLS-SEM) multivariate statistical technique was applied for data analysis. It was found that there is a complementary mediating effect of entrepreneurial self-efficacy in the relationship between entrepreneurial passion and leadership styles. On the other hand, it was concluded that entrepreneurial passion has a positive influence on entrepreneurial self-efficacy. Likewise, there is a positive influence of entrepreneurial self-efficacy on leadership styles, and there is a positive influence of entrepreneurial passion for leadership styles. This research contributed theoretically to the academic literature and provided empirical evidence of the relationship of the proposed variables; it proved a new predictive and explanatory structural model that can now be used in future research worldwide and generated a model of the studied variables that are useful for both academia and the business world.

This paper aims to examine the relationship between control mechanisms and marketing performance based on a sample of marketing managers. To that end, this paper focuses on the relationship between the types of controls used in marketing and the market and business results.

This study collected the data through a survey among marketing professionals with experience and decision-making capacity involving marketing budgets and plans, in practical terms a sample of 97 marketing managers and analyzed the data via a structural equation model using Smart PLS 3.

The findings confirm that marketing control mechanisms have a significant impact on business results, demonstrating the relationship of formal controls with market results and the relationship between informal controls with financial results. Likewise, the authors were able to prove that there is a relationship between formal and informal control.

The implementation of the control mechanisms should be based on the development of a detailed evaluation system of the activities carried out by the marketing employees and an analysis of their capabilities and abilities. In addition, managers should integrate formal control decisions into their marketing strategy to improve organizational results.

The results of this study help explain the relationship between marketing control mechanisms and organizational results and allow to understand what the level of influence is that marketing control mechanisms have on market and financial results.

Examinar la relación entre los mecanismos de control y los resultados a partir de una muestra de directores de marketing. Con ese fin, el documento se centra en la relación entre los tipos de controles utilizados en marketing y los resultados de mercado y financieros.

Los datos fueron recolectados a través de una encuesta entre profesionales del marketing con experiencia y capacidad de toma de decisiones sobre presupuestos y planes de marketing. Contando con una muestra de 97 gerentes de marketing. Los datos se analizaron mediante un modelo de ecuación estructural (SEM) utilizando Smart PLS 3.

Se confirma el impacto significativo de los mecanismos de control de marketing sobre los resultados organizacionales, demostrando la relación del control formal con los resultados de mercado, y la relación entre el control informal con los resultados financieros. Asimismo, se pudo comprobar que existe una relación entre el control formal e informal.

Los resultados ayudan a explicar la relación entre los mecanismos de control de marketing y los resultados organizacionales, y permiten comprender cuál es el nivel de influencia que tienen los mecanismos de control de marketing sobre los resultados de mercado y los financieros.

La implementación de los mecanismos de control debe basarse en el desarrollo de un sistema de evaluación detallado de las actividades realizadas por los empleados de marketing y un análisis de sus capacidades y habilidades. Además, los gerentes deben integrar las decisiones de control formal en su estrategia de marketing para mejorar los resultados organizacionales.

Control formal, Control informal, Resultados de mercado, Resultados financieros, Departamento de marketing, Calidad del producto, Cobertura de mercado, Precio relativo, Valor de la marca, Lealtad, Marketing digital

Tipo de artículo – Trabajo de investigacion

基于对营销经理的抽样调查, 研究控制机制与营销业绩之间的关系。为此, 本文着重研究了市场营销中使用的控制类型与市场和经营结果之间的关系。

我们通过对具有涉及营销预算和计划的经验和决策能力的营销专业人员的调查来收集数据, 实际上是对97名营销经理的抽样调查, 并通过使用Smart PLS 3的结构方程模型（SEM）来分析数据。

研究结果证实, 营销控制机制对商业结果有重大影响, 证明了正式控制与市场结果的关系, 以及非正式控制与财务结果的关系。同样, 我们也能够证明正式控制和非正式控制之间存在着关系。

本研究的结果有助于解释营销控制机制与组织结果之间的关系, 使我们能够了解营销控制机制对市场和财务结果的影响程度如何。

控制机制的实施应该建立在对营销员工所进行的活动制定详细的评估体系, 以及对他们的能力和水平进行分析的基础上。此外, 管理者应将正式的控制决策纳入其营销战略, 以提高组织结果。

正式控制；非正式控制；市场结果；财务结果；营销部门；产品质量；市场覆盖率；相对价格；品牌价值；忠诚度；数字营销

纸张类型 – 研究论文

The purpose of this paper is to develop a structural relationship model to study the relationship between causes and effects of poor communication and information exchange in construction projects using Smart-PLS.

The first method of this research is to identify the causes and effects factors of poor communication in construction projects from the extant of literature. The data used to develop the model was collected using a questionnaire survey, which targeted construction practitioners in the Malaysian construction industry. A five-point Likert type scale was used to rate the significance of the factors. The factors were classified under their relevant construct/group using exploratory factor analysis. A hypothetical model was developed and then transformed into Smart-PLS in which the hypothetical model suggested that each group of the cause factors has a direct impact on the effect groups. The hypothesis was tested using t-values and p-values. The model was assessed for its inner and outer components and achieved the threshold criterion. Further, the model was verified by engaging 14 construction experts to verify its applicability in the construction project setting.

The study developed a structural equation model to clarify the relationships between causes and effects of poor communication in construction projects. The model explained the degree of relationships among causes and effects of poor communication in construction projects.

The published academic and non-academic literature introduced many studies on the issue of communication including the definitions, importance, barriers to effective communication and means of poor communication. However, these studies ended up only on the general issue of communication lacking an in-depth investigation of the causes and effects of poor communication in the construction industry. The study implemented advanced structural modeling to study the causes and effects. The questionnaire, the data and concluding results fill the identified research gap of this study. The addressed issue is also of interest because communication is considered one of the main knowledge areas in construction management.

Employee stress and job satisfaction are significant issues in the hospitality industry. Moreover, employee stress has cost implications on the stakeholders, i.e. employers and employees alike. There is inadequate empirical evidence that could shed light on job stress and burnout issues of hotel employees with reference to India. Also, the nature and level of hospitality employee stress is not fully understood. Thus, the purpose of this paper is to examine the impact of job satisfaction and job stress on the life of employees in the hospitality sector in Mumbai.

Data were collected from a total of 510 respondents (23 for inductive and 487 for the deductive study) from six five-star category hotels in Mumbai. It utilizes a sequential mixed-method approach to measures the study variables through phenomenography and then validates their causal relationship through partial least squares structural equation modeling using Smart PLS-SEM.

In the inductive analysis it was found that “work related” factors such as unsafe working conditions, work load, relationship on the job were the most prominent sources of stress for the respondents. In the deductive analysis the causal relationship between job satisfaction, job stress and stress impact verified through Smart PLS-SEM turned out to be significant. It could be inferred from the results that job satisfaction negatively influences job stress and job impact. Similarly, job stress positively influenced stress impact among the hotel employees.

The results of the current study should be interpreted with caution. First, the current study only includes self-reporting stress levels. Direct observation was not feasible, since it is subjected to the researchers’ bias. The sample in this study did not include employees of limited-service hotels. As limited-service hotels may have different requirements, challenges and culture for employees than full-service or five stared hotels, thus the findings of the study may not be generalized to limited service hotels.

The study has dual implications. First, similar research interventions through the mixed-method approach must study the causal relationship between job satisfaction, job stress and stress impact by effectively exploring the participants “lived experience.” Second, employers must validate customer feedback to evaluate employee job performance.

This is the first study to explore interrelationships between the three important variables, namely, employees’ job satisfaction, job stress and its impact on the life of employees in the hospitality industry using the sequential mixed-method approach. The study findings open new avenues for future research using structural equation modeling, thus representing an important contribution of the present study.

Structural equation modelling (SEM) is a universal statistical tool used in different disciplines to visualise and validate multiple correlations concurrently. However, the potential application of SEM in construction management studies is less defined within the existing literature. Hence, the present paper reviews and organise the scattered knowledge on SEM applications in the construction management research domain along with the gaps and emerging areas.

This study followed a step methodological approach including (1) journal selection, (2) relevant paper selection and (3) qualitative analysis to obtain a comprehensive overview of SEM applications in the construction management area. The present paper reviews the 262 SEM-based articles published in 17 selected peer-reviewed journals from 2014 to 2024, June.

Yearly publication trends have identified the steady growth of SEM-related publications over time, with notable publication growth observed starting in 2020. Safety management and green or sustainable construction are the most popular SEM applications in this field. The study findings further stated that CB-SEM via AMOS and PLS-SEM using Smart-PLS software were the widely applied tools in SEM applications. Furthermore, reviewed articles highlight certain discrepancies between the main SEM approaches in terms of research methods, model creation and assessment. The latter part of the study includes a detailed explanation of the common issues and recommendations for using SEM.

The study gives an insightful guidance framework for future researchers interested in SEM in construction management.