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The purpose of this paper is to test the possible influence of the Ajzen’s theory of planned behaviour (TPB) in predicting conflict-handling intentions during process conflict episodes. Conflict situations are often to be managed with limited time in software projects. With this cue, the study is conducted in the context of software companies in India.

Five variables of the TPB comprising attitude, injunctive subjective norms, descriptive subjective norm, conflict efficacy (CE) and structural assurance (SA) have been studied in relation to the two standard conflict-handling intentions: integrating and dominating approach. By developing vignettes on process conflict, salient beliefs towards process conflicts were elicited among software employees in India. A questionnaire using Ajzen’s guidelines was administered. Structural equation modelling for 150 responses is used for testing path suitability and significance.

Employees with positive attitude towards conflict, high CE and high SA intend to integrate during process conflict. Employees with low efficacy and who are influenced by the action of their role model intend to dominate during process conflict.

The study is contextualized to Indian software employees. Findings should not be generalized until replicated in samples from other settings.

This study will help practitioners in understanding the various elements that play role in a process conflict and also help in developing appropriate interventions in managing conflicts. This can be done by identifying and resolving issues related to unfavourable attitude and behavioural norms towards process conflicts.

This study is the first to examine the efficacy of the TPB model in predicting multiple conflict-handling intentions among Indian software companies.

Facial recognition payment is an emerging mobile payment method that uses human biometrics for personal identification. The purpose of this study is to examine how users' salient beliefs regarding the technology–organization–environment–individual (TOE–I) dimensions affect their attitudes and how attitudes subsequently influence the intention to use facial recognition payment in offline contactless services.

This study comprehensively investigates customers' decision-making psychological mechanism of using facial recognition payment by integrating the belief–attitude–intention (B–A–I) model and the extended TOE–I framework. Data from 420 valid samples were collected through an online survey and analyzed using partial least squares structural equation modeling.

Research results indicate that convenience and perceived herd exert positive effects on trust and satisfaction. Meanwhile, familiarity has a significantly positive effect only on trust but not on satisfaction. In contrast, perceived privacy risk exhibits a negative effect on both trust and satisfaction. Trust and satisfaction positively influence the intention to use facial recognition payment. Unexpectedly, self-awareness negatively moderates the effect of satisfaction on intention to use, but its effect on the relationship between trust and intention to use is non-significant.

To the best of the authors’ knowledge, this study is one of the early studies that explicate customers' psychological mechanism in facial recognition payment in offline contactless services through an understanding of the B–A–I causal linkages with the identification of users' perceptions from a comprehensive context-specific perspective. This study enriches the literature on facial recognition payment and explores the moderating role of self-awareness in the relationship between users' attitudes and intention to use, thereby revealing a complex psychological process in the usage of offline facial recognition payment systems.

Previous studies of e-servicescapes have considered general internet consumers as the main research subjects; however, some studies have argued that heavy users are the main sources of consumption. Understanding heavy user’s consumption traits is crucial for enhancing company profits; hence, the purpose of this paper is to compare the significant attributes of e-servicescapes and clarify their relationship with purchase intention by employing heavy and light internet users as moderators.

An online questionnaire was used to collected data from 342 valid internet users with online shopping experience, and the differences were compared through structural equation modeling.

Aesthetic appeal and interactivity significantly increase general users’ purchase intentions. For heavy users, interactivity was the most crucial factor, followed by esthetic appeal, and then layout and functionality. For light users, Aesthetic appeal was the only crucial factor. The data also reveal that financial security does not have significant positive effects on general, heavy, or light users.

Using the insight gained by integrating purchase intention with e-service quality and segmentation theory in the e-servicescape, the authors display how heavy and light internet users evaluate the e-servicescape for signals of quality attributes and contribute their cognitive response and purchase intention according to different consumption traits. Internet retailers are recommended to segment heavy and light users, redesign their current e-servicescapes, and provide more appropriate marketing strategies to attract and keep heavy and light users and enhance their purchase intentions.

The demand for over-the-top (OTT) video streaming services has grown manifold in the last few years. With increasing competition in the OTT market, it is vitally important for businesses to understand OTT retail consumers' continuance intentions. This study aims to understand the antecedents of the continuance intention of OTT platforms and distinguish the most essential and best-performing predictor variables of continuance intention.

The study employs an integrated research model based on the theory of planned behavior (TPB), flow theory and habit. Data collected from OTT retail consumers (n = 383) using the online survey method are analyzed using partial least squares structural equation modeling.

The results elucidated which TPB antecedents and dimensions of flow experience affect OTT platforms' continuance intention. The most important factors affecting continuance intention were habit, attitude and perceived behavioral control, while the best-performing factors were perceived behavioral control, perceived enjoyment and attitude.

The study is unique in harmoniously integrating conscious cognitive intention, intrinsic motivation and habit of performing an activity to explain OTT platforms' continuance intention.

The purpose of this paper is to investigate the factors influencing the behavioral intention to adopt payments banks services by Indian underbanked and unbanked population.

The proposed model has assimilated factors from the Unified Theory of Acceptance and Use of Technology (UTAUT) along with perceived credibility. The factors of UTAUT include performance expectancy, effort expectancy, facilitation of conditions and social influence. Apart from testing the direct relationships of the model constructs with the behavioral intention to adopt payments banks services, the study has also explored mediating and moderating effects of certain constructs. The research model has been empirically tested using 660 responses from a field survey conducted in New Delhi – the capital city of India – by using the structured equation modeling (SEM) technique. The target respondents of the study are small businessmen and migrant laborers who are either underbanked or unbanked.

The findings of the study reveal that the model is able to explain 67.5 per cent of the variance in behavioral intention. The results indicate that all the factors are direct determinants of behavioral intention. Perceived credibility is found to be the strongest influencer of behavioral intention. The findings also indicate that perceived credibility partially mediates the relationships between “social influence and behavioral intention” and “performance expectancy and behavioral intention.” The relationship between performance expectancy and behavioral intention is also found to be moderated by facilitating conditions and effort expectancy.

As this study is based on a convenience sample of respondents of only one city of India, this could negatively reflect on the generalizability of results across other cities. Moreover, the study has only focused on the perceptions of small businessmen and migrant laborers. This raises concerns regarding the applicability of the results for other segments of the current population that have different demographic characteristics (e.g. occupation, income, education level and technology experience). Modifying the conceptual model presented in this research to include “experience” and “age” as moderators can also be worth considering in future. Although this study has extended the UTAUT to include perceived credibility, the results of the explanatory power of the model indicate that there is still room for improvement. Therefore, including other constructs, e.g. hedonic motivation, perceived risks and trialability, could be a fruitful path forward. Future studies may also examine the factors influencing the actual use behavior of payments banks, rather than just behavioral intention.

The study looks forward to providing the payments banks service providers in India with suitable guidelines for effectively implementing and designing payments banks services. Specifically, the results of this study have provided clues for Indian payments banks service providers about the crucial role of perceived credibility in influencing the behavioral intention to adopt payments banks. Therefore, service providers have to initially be sure that payments banks are able to conduct financial transactions efficiently, securely and within less time, along with the availability of information required by customers to successfully use the services. Service providers should enhance customer confidence and trust by providing secure and reliable services. They should also emphasize on the positive safety measures of the payments banks during any marketing campaign rather than just creating brand awareness.

The study represents a substantial contribution to the existing knowledge regarding mobile payment channels in particular and technology acceptance area in general. In fact, this study presents a worthwhile direction by examining payments banks services, which, so far, have not been well evaluated in the Indian context. To the best of the authors’ knowledge, this is an early attempt toward a holistic and integrative approach to explain adoption of payments banks in India. Although prior studies have addressed mobile banking and mobile payment adoption, the strength of this research lies in combining the UTAUT constructs with perceived credibility. This is evidenced by the high explanatory power (67.5 per cent) of the research model adopted in this study.

The purpose of this paper is to explore the relationship between different categories of person–environment (P–E) fit and two types of retirement intentions (i.e. full retirement and bridge employment).

Data were collected from a convenience sample of 357 executives aged 50 and over, employed in French private sector companies. Hypotheses were tested using structural equation modeling.

Perceptions of value congruence at vocational level and needs and supplies fit at organizational and job levels were positively related to the intention to hold bridge employment after retirement. The fit between older worker’s abilities and job demands was positively related to the two types of retirement intentions.

The complexity of retirement transition is taken into account with the introduction of two types of retirement intentions. P–E fit is shown to be an antecedent of career intentions after retirement.

This purpose of this paper, drawing on the theory of planned behaviour (TPB), is to develop an integrated model of entrepreneurial career intentions incorporating the role of motivational factors along with entrepreneurial knowledge. Specifically, this study proposes the existence of a relationship between entrepreneurial knowledge and digital entrepreneurial intentions and asserts that this relation is mediated by the motivational factors.

Data were collected from a sample of 150 computer sciences students from four public Iranian universities using a questionnaire.

Results indicated that the two motivational factors (namely, attitudes towards digital entrepreneurship and perceived behavioural control) significantly relate to digital entrepreneurial intentions. In addition, entrepreneurial knowledge indicates indirect effects on intentions via these two motivational factors.

The results of this study have clear implications for both educators and policymakers.

The study helps to understand the role of entrepreneurial knowledge in shaping digital entrepreneurial intentions through developing an integrated intention model based on the TPB. The results also indicate that the TPB fully accounts for the indirect effects of entrepreneurial knowledge.

Digitization of terrestrial television enables government to reallocate a portion of spectrum to satisfy the 5G low-band spectrum demand. To accelerate the digitization process, the Indonesian Government has distributed digital terrestrial television (DTT) decoders for households in several DTT trial areas so that the recipients are able to experience DTT broadcasts on their analogue television. To ensure that the DTT is adopted sustainably, this study aims to provide evidence-based policy recommendations by first understanding underlying factors of the intention to purchase a new DTT receiver, either a new DTT decoder or an integrated digital television (DTV).

This study uses 2018 survey data collected by Badan Aksesibilitas Telekomunikasi dan Informasi. The samples consist of 433 DTT decoder recipients in nine DTT trial locations in Indonesia. Two logistic models are used, one model for the DTT decoder and the other for integrated DTV. The two models have identical predictors, including respondents' demographics, television media use, technology cluster and DTT-related factors as innovation attributes.

The results indicate that the two models share some relevant variables but varying in sign and magnitude, namely, respondents' geographical location and the DTT picture and sound quality. The results also show that pay-television subscription, TV viewing and the difficulty of using the DTT decoder are other factors significantly associated with the intention to purchase a new DTT decoder.

This study has several limitations. First, the coefficients of determination are low, indicating that more independent variables should be included in the estimation models to obtain better insight about DTT adoption so that a better policy can be stipulated accordingly. Second, even though most of the predictors and proposed recommendations can be applied in general, all respondents of this study were DTT decoder recipients. Thus, future research can be more inclusive. Third, this study is designed based on the correlational model. This might cause the inability of the results to provide a conclusive direction of the relationship.

Demand-side and supply-side approaches are proposed to drive sustainable adoption of DTT, including the provision of subsidy or free DTT decoder for low-income households, increasing competition intensity among DTT devices manufacturers and distributors by allowing more players enter the Indonesian market, driving nationwide DTT infrastructure deployment and stipulating a national standard of the DTT devices.

This study enriches the understanding of the DTT adoption by incorporating geographical location variables for the proxy of infrastructure availability into the diffusion of innovation model, which has never been addressed by previous studies in the context of DTV adoption. In addition, this study focuses on a specific context in which all samples are free decoder recipients so that they have the same chance to experience DTT broadcasts.

Greenhouse effects and the need for cost savings necessitate that an organization's information technology (IT) managers design IT equipment acquisition and service provisioning policies to reduce carbon footprint and cost. Analyzing the influencing factors that influence stakeholders' attitudes toward adopting green information technology (Green-IT) is an important input in designing these policies. In essence, the research aims to investigate into the relationship between these factors and how they influence policy-makers' behavior in Nigerian manufacturing industries.

The study develops a model based on the norm activation model (NAM) and the theory of planned behavior (TBP) to investigate the factors that influence decision-makers' intention in adopting Green-IT. A quantitative approach using a survey method is carried out to gather opinions of IT decision-makers using a random sampling technique. Partial least squares structural equation modeling (PLS-SEM) technique is applied to test the structural model and measurement model.

The study's findings support the use of the behavior model for Green-IT adoption. The study's finding indicates that subjective norms, perceived behavior control (PBC), manager's attitude, personal norm (PN), awareness of adverse consequences and the ascription of responsibility (AR) positively influence intention to adopt Green-IT.

The development and validation of the model are the study's theoretical contributions. The study reviewed the existing literature on the utilization of Green-IT to better understand the intention to adopt Green-IT in Nigeria. It added to the literature by identifying factors that can influence it as well as theoretical underpinnings that can fit the intentions of decision-makers. The scientific community and the industrial companies would have the chance to investigate how this integrated behavioral intention model promotes the use of Green-IT. The research predictors explained about 70.20% of the variance in the behavioral intention to adopt Green-IT.

Research offers practical implications and recommendations for top management practitioners of the manufacturing industries. Business leaders can use the results of this study to develop an effective strategic IT policy for the successful adoption of Green-IT practices for enhanced productivity. The study found that decision-makers' Green-IT attitudes had a substantial impact on their behavioral intention to adopt Green-IT. The study highlighted the importance of the top management attitude toward green products to facilitate the adoption of Green-IT practices in manufacturing industries in Nigeria. Thus, the positive and significant attitude of policy-makers is a necessary tool toward the successful adoption of Green-IT. Therefore, to foster an environmentally sustainability friendly atmosphere, Nigeria's manufacturing industries shall strive to strengthen the decision-makers' attitude toward practicing Green-IT in their respective domains. The findings showed that AR, AQ, environmental concern (EC), perceived behavior and perceived behavior are critical factors to be considered in an organization.

According to the findings, an individual's Green-IT attitude has a substantial impact on the environment as social behavior. As a result, the positive and essential attitude of the social sector is a key tool for efficient Green-IT implementation. Nigeria's social activists must try to create awareness campaigns to boost decision-makers' attitudes toward implementing Green-IT in their various regions to develop a friendlier environment. Thus, the identified factors can be of great help to the social sector in designing and implementing successful environmental-friendly policies that could support the adoption of Green-IT practices.

The current research look at Green-IT adoption in manufacturing industries of West African countries. The study offers practical implications and recommendations for top management practitioners of the manufacturing industries, government policy-makers and organizations to enhance the use of Green-IT for mitigating environmental degradation. Recommendations for future research are stated as concluding remarks.

The purpose of this paper is to address the following question: Can a bank capitalize on its well-established self-service technologies (SSTs) in order to entice customers to adopt a newly introduced SST, namely, mobile banking? More specifically, it proposes an integrative model that simultaneously investigates the transference effects of attitudes, trust and the contagious influences of social pressures on mobile banking adoption intentions.

Structural equation modeling is applied to data collected from banks’ clients who are actually non-users of mobile banking.

The results indicate that attitude toward and trust in mobile banking along with coercive, normative and mimetic pressures are key antecedents to mobile banking adoption intentions. In addition, attitudes toward automated teller machines (ATMs) and online banking significantly predict attitude toward mobile banking. The results also support the effects of trust in ATMs as well as trust in online banking on trust in mobile banking. Moreover, predicted differences in the relative effects of attitude and trust are supported. Particularly, attitude toward online banking has a stronger impact on attitude toward mobile banking compared to the impact of attitude toward ATMs. In the same vein, the effect of trust in online banking on mobile banking is significantly stronger than the effect of trust in ATMs.

The study’s results hint at some practical and worthwhile guidelines for banks that can be leveraged in communication campaigns aiming at boosting the adoption rates of mobile banking. Banks can take advantage of the transference effects of the established attitudes toward and trusting beliefs in their mature SSTs as well as the contagious social influences in inducing the adoption of a newly introduced SST.

The present study represents a first step toward generating new insights into the role of the joint effects of attitudes, trust and social influences in the adoption of a new SST.