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Chatbot technology is growing swiftly across the banking and finance industry. The study aims to explore the influence of Task-Technology Fit (TTF), system suitability, perceived usefulness, social influence and satisfaction on respondents’ continuance intention among the chatbot-users. A total of 250 responses were collected using a structured questionnaire via social media across India. The measurement model was proposed based on the system usability (SUS) and TTF model with other constructs, and the hypothesis was tested using a structural equation model. The findings of the study highlighted and confirmed the association among five constructs: TTF, SUS, perceived usefulness, social influence, on satisfaction and continuance intention in the context of chatbots usage in banking.

The purpose of this research article is to explore the behavioural intention of consumers to use app-based shopping for green-tech products in the emerging economy of Bangladesh. The study investigates the indirect effects of perceived ease of use, usefulness, perceived delivery and perceived security on the behavioural intention to use app-based shopping for purchasing green-tech products by considering the mediating role of perceived trust.

A quantitative research approach was applied to collect data from the respondents who had previously used app-based shopping for green-tech products in Bangladesh. An online, self-administered survey questionnaire was used to collect data from 348 respondents. The survey data was analysed using SmartPLS-4 to measure the reliability and validity of the constructs. In addition, partial least squares structural equation modelling (PLS-SEM) was employed to test the research model and hypotheses.

The study's results reveal that perceived usefulness, ease of use, security and delivery positively and significantly influence perceived trust, leading to a higher behavioural intention to use app-based shopping for green-tech products. Additionally, perceived trust significantly mediates the relationship between the behavioural intention to use app-based shopping and perceived usefulness, perceived ease of use, perceived security and perceived delivery.

The study's findings have important implications for app-based shopping services to support customers interested in purchasing green-tech products in an emerging economy. The results also indicate that green-tech product companies must adopt new service delivery channels and ensure consumers' convenience and cost and time savings. The present research findings suggest that green-tech product companies need to ensure that they integrate digital technologies into their services for secure and timely delivery of products, improving customer convenience.

The study's findings can be insightful for app-based shopping service providers to foster their businesses by focussing on developing a positive trust perception in the consumer's mind, leading to a positive intention to use the app-based shopping services. The present study will enrich the current literature by investigating how consumers' perceived trust affects their behavioural intention to use app-based online shopping for purchasing green-tech products. It will also expand the existing knowledge on app-based shopping by exploring how perceived delivery impacts perceived trust, which subsequently affects customers' intentions to adopt the purchase of green-tech products.

The study aims to identify the determinants of customer satisfaction in the electronic commerce (e-commerce) industry in Bangladesh. It also investigates whether acceptance of IT innovation mediates the relationship between the determinants of e-commerce and customer satisfaction.

A survey questionnaire had been designed and distributed among the customers of e-commerce businesses. Data were collected from 408 respondents, who were mostly from urban areas of the country. The collected data had been analysed with the application of the partial least square approach using SmartPLS4. First, the measurement model was applied to determine the validity and reliability of the dataset. Then, the structural model was utilized to justify the hypothesis.

The results showed that customer service, perceived ease of use and customer trust in e-commerce services have a significant positive impact on customer satisfaction. The acceptance of IT innovation, which showed a positive influence on customer satisfaction, enhanced customer satisfaction when accompanied by perceived ease of use and digital literacy.

The results would have valuable insight for the e-commerce business in designing their products and services and taking policies to achieve long-term customer loyalty.

This is the first study that incorporates IT innovation acceptance as a mediating variable. Although a number of factors have been identified as the determinants of customer satisfaction, the specific mechanism of IT innovation acceptance as a mediator between predictors and customer satisfaction is unique in this study.

The cruise industry has used technology to attract more millennials than ever before. The progression of social media has transformed the way young individuals gather information for their travel decision-making. Hence, this study aims to investigate the effects of the characteristics of social media – Instagram – on millennials’ trust in and attitudes toward social media content and their behavioral intentions.

A self-administered survey was designed to test the study model, and 323 responses collected were deemed valid for main data analysis.

The results revealed that perceived enjoyment of content is a powerful antecedent of trust, attitudes and behavioral intentions. Content quality is a strong predictor of trust but has no meaningful effect on attitudes and behavioral intentions.

Theoretically, this study contributes to the research in the tourism literature on social media and cruise marketing based on integrating into the technology acceptance model, the characteristics of social media content and trust based on commitment-trust theory. This study can help cruise operators use Instagram to influence millennials and suggests significant implications based on social media interactions with millennials.

This study examines the direct and indirect effects of social capital on supply chain performance via supply chain quality integration (SCQI), which refers to integrating supply chain partners from the perspective of quality management. It also examines the moderating role of environmental uncertainty in the link between social capital and SCQI and determines the conditional indirect effect of social capital on supply chain performance via SCQI.

Data were collected using a time-lagged research design through a self-administered survey of supply chain professionals in manufacturing firms in Pakistan. Hayes’ PROCESS Macro was used to test the hypotheses.

The results show a positive relationship between social capital and supply chain performance. SCQI partially mediates the relationship between social capital and supply chain performance. Environmental uncertainty significantly moderates that relationship in such a way that firms that operate under high environmental uncertainty are more likely to use their social capital to develop SCQI than firms that operate under low environmental uncertainty.

The study has practical implications for managers who seek to implement SCQI practices using social capital. Leveraging social capital across the supply chain fosters strong connections and a quality-oriented approach across the supply chain, and improves overall performance. Managers can use the power of social capital to navigate environmental uncertainty.

This study’s originality lies in its drawing on the dynamic capability theory and contingency theory and integrating the dispersed scholarly work on social capital, SCQI, and supply chain performance under the boundary condition of environmental uncertainty.

Compared with traditional methods relying on manual teaching or system modeling, data-driven learning methods, such as deep reinforcement learning and imitation learning, show more promising potential to cope with the challenges brought by increasingly complex tasks and environments, which have become the hot research topic in the field of robot skill learning. However, the contradiction between the difficulty of collecting robot–environment interaction data and the low data efficiency causes all these methods to face a serious data dilemma, which has become one of the key issues restricting their development. Therefore, this paper aims to comprehensively sort out and analyze the cause and solutions for the data dilemma in robot skill learning.

First, this review analyzes the causes of the data dilemma based on the classification and comparison of data-driven methods for robot skill learning; Then, the existing methods used to solve the data dilemma are introduced in detail. Finally, this review discusses the remaining open challenges and promising research topics for solving the data dilemma in the future.

This review shows that simulation–reality combination, state representation learning and knowledge sharing are crucial for overcoming the data dilemma of robot skill learning.

To the best of the authors’ knowledge, there are no surveys that systematically and comprehensively sort out and analyze the data dilemma in robot skill learning in the existing literature. It is hoped that this review can be helpful to better address the data dilemma in robot skill learning in the future.

The purpose of this study is to explore the principal research query and whether strategic foresight deployed by entrepreneurial firms in energy transition aims at crafting future readiness.

With a focus on entrepreneurial firms working in the alternative energy segment in the Indian context, the intent is to examine the deployment of strategic foresight by incumbent firms and their entrepreneurial journey. The authors have adopted the approach of Eisenhardt for this research. The area of interest for the authors entailing strategic foresight by entrepreneurial firms in energy transition aligns with defining features reflecting the aim of Eisenhardt method for this exploratory research coupled with constructivism.

While the future scenarios in the energy sector have to be necessarily multiple, their alignment with different geographic, economic, demographic and political outlooks shall be defined by the pathways niched through the deployment of strategic foresight for arriving at those scenarios.

Strategic foresight deployed by entrepreneurial firms has the potential to create future readiness through self-reliant sustainable economic value chains for local populace, thus propagating holistic development in remote regions.

This paper attempts to knit together the domains of strategic foresight, entrepreneurial firms and energy transition through case research and present the future thinking deployed for navigation in uncharted pathways by capturing the foresight component of these incumbent firms chosen through careful case selection. The narrative has been strengthened by the varied interviews across participants and the observations made by the authors during the research work.