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This study aims to examine factors influencing purchase intentions of households toward solar rooftops, using diffusion of innovation theory.

Six dimensions from the diffusion of innovation theory have been contemplated to assess households’ purchase intentions toward solar rooftops. Primary data was collected from 863 respondents by using a purposive sampling technique from different parts of India. The study used structural equation modeling analysis to examine the data.

Results confirmed that the dimensions, namely, relative advantage, compatibility, complexity, innovations and observability, positively influence households’ purchase intentions of solar rooftops, except for the trialability dimension.

Data for the study is based on a purposive sampling technique that restricts the representation of the whole population. There may be variance in public perception from place to place due to demographic and psychographic differences.

The present study would facilitate devising a roadmap to improve the quality of the environment. Policy planners, researchers and professionals would find the implications of this study helpful in developing critical strategies.

The research practically explores households’ intention to purchase solar rooftops by filling the gap in previous literature. Findings of the study can equip firms with several advantages. Through the present study, one gets to know that developed and developing economies have similar energy usage issues. Further, it empirically examines the applicability of diffusion of innovation theory in the solar rooftops context.

Digital technologies emerged as innovative avenues for launching new products, advertising brands, increasing customer awareness and thus leaving a remarkable impact on the online marketplace. The present study analyzed the effects of crucial antecedents of AR interactive technology on customers' behavior toward AR-based e-commerce websites.

Convenience sampling was used to collect primary data from 357 iGen respondents aged 16–22 years; residing in New Delhi and the NCR region of India and examined using the structural equation modeling technique.

Results revealed that technology anxiety and virtuality significantly influence customers' attitudes and behavioral intentions toward AR-based e-commerce websites. However, interactivity and innovativeness remain non-significant. Additionally, non-significant moderating effects were identified for the moderators, i.e. trust and need for touch. At the same time, gender has a significant moderating effect only for the association between technology anxiety and attitude toward AR-based e-commerce websites.

The study summarizes numerous theoretical and managerial implications for AR-based website designers and policymakers, followed by the crucial limitations and directions for future research.

The present research provides a significant understanding of the e-commerce industry by providing valuable insights about young iGen consumers' perceptions of AR-based e-commerce websites.

This paper aims to offer and examine a conceptual model of tourist innovativeness toward self-service technologies (SSTs) to confirm whether tourists prefer service delivery by SSTs over employees in an offline hospitality environment.

Tourists’ perceived usefulness (PU) of SSTs and need for interaction (NI) with service employees have been taken as crucial mediating variables to examine the effects of perceived ease of use and technology readiness index personality dimensions toward SST and employee-based service adoption.

Findings reveal that both “NI” and “PU” play significant roles in Technology Readiness and Acceptance Model (TRAM) when tourists select one of two service delivery options – SSTs and service employees.

The foremost limitation of the study is its dependence on domestic tourist samples. However, such samples were chosen because tourists comprising these samples tend to use similar service delivery options more, in turn increasing their use of SSTs available in sample hotels.

The study gives a deeper understanding of TRAM with an extremely crucial mediating variable (NI) in an offline service context. It also provides useful insights to service providers and policy makers for developing new strategies and policies to enhance user experience.

This study recommends the usage of numerous SSTs by tourists.

During extensive literature review carried out in this research, no study was found that proposed such an effective framework in an offline service context.

The present study aims to develop and offer a model to evaluate the customers' attitude and intention to adopt solar net metering systems (commonly called solar NMS) in a developing economy. Therefore, the research examines different factors affecting the Indian households' attitudes and intention to adopt solar NMS.

The data were collected from 247 solar NMS users from India. The structural equation modeling (SEM) technique was applied using SmartPLS 3.3.2 software to analyze the impact of various factors on their adoption intention. The conceptual model comprises environmental concern, perceived ease of use (PEOU), subjective norms, perceived usefulness (PU), attitude and behavioral intention to adopt solar NMS.

Subjective norms and environmental concerns significantly influence the PU and PEOU of solar NMS. Also, PU and PEOU significantly influence their attitude and intentions toward adopting solar NMS. Thus, the perceived social pressure and environmental concern affect their perception of solar NMS's usefulness and ease of use, leading to favorable attitudes and adoption intentions. Additionally, the solar NMS benefits the customers, society and the environment by enhancing environmental quality, compatibility with the modern lifestyle, and reducing dependency on the power grid and electricity bills. These benefits shape the customers' overall perception and increase the adoption of solar technologies.

The present research helps bridge the gaps in the existing literature by identifying (1) factors affecting customers' intention toward solar technologies in developing nations and (2) describing the significant prediction of environmental concern and subjective norms to increase solar technologies adoption.

The case collates secondary data pertaining to Maruti’s current position, Nexa, the premium retail sales channel of Maruti, and recent developments in the Indian automobile industry. It presents the facts and data published on websites, newspapers and magazines in the form of a case study.

Nexa was launched by Maruti in 2015 to enhance the buying experience of its premium customers and to re-position itself as a premium brand. It started offering customized services to car purchasers through its well-trained employees, attractive store environment and omni channel experience. Through all these facilities, though Nexa had a bumpy ride for selling its first product, it managed to pace up and perform better in the next few years. It remained to be seen how Maruti would handle competitor and cost challenges and how it would strategize its efforts to strengthen its footprint in the Indian automotive industry.

This case can be used in retail management, sales and distribution management, marketing management and related courses/modules at the master’s level.

The purpose of this study is to explore the social norms influencing consumer participation in consumption tax evasion (CTE) by examining both passive and active roles from a social marketing perspective. The study aims to identify the factors that prompt consumers to engage in or abstain from CTE, with a particular focus on the interplay of descriptive and injunctive norms and perceived consumer effectiveness (PCE).

The study utilizes a scenario-based experimental design involving 306 respondents in India, stratified by demographics and tax compliance attitudes. We used the PROCESS Macro to analyze the data using established scales for measuring descriptive and injunctive norms and PCE.

The results indicate that descriptive norms significantly increase the intention to engage in CTE, while injunctive norms weaken this relationship. PCE strengthens the moderating effect of injunctive norms. These findings highlight the mechanisms driving passive participation in CTE.

This study underscores the importance of societal norms and individual efficacy beliefs in shaping ethical behaviors such as tax compliance. By understanding these factors, governments can better design social marketing campaigns and public policies that foster a more compliant and ethically aware society.

The originality of this research lies in its examination of both passive and active consumer participation in CTE, a relatively understudied area within tax compliance literature. It extends the discourse on social norms and tax evasion by incorporating the nuanced roles of descriptive and injunctive norms and offers valuable insights for academicians, tax authorities and policymakers interested in behavioral interventions.

The purpose of this paper is to analyze the various antecedent beliefs predicting customers’ attitudes toward, and adoption of, self-service technologies (SSTs) available in the banking industry.

A descriptive research design with survey approach is used to develop and test a conceptual model of adoption for all three self-service banking technologies (SSBTs).

The results of the comparative analysis showed that antecedent beliefs affecting adopters’ attitude vary across different SSBTs. It extends and tests the technology acceptance model (TAM) by including two additional antecedents from the theories of adoption behavior.

All three SSBTs included in the paper are from the banking industry, which limits the generalizability of the findings to other industries. Many other limitations were also reported.

The findings reveal why and how customers decide to adopt different SSBTs and why a few SSBTs are more widely accepted than others. The practicality of the findings guides managers and designers of technological interfaces.

People will also benefit from the effective implementation of SSTs.

This study stands out as one of the early studies to empirically examine the antecedents-attitude-intention relationship across different SSBTs available in Indian banking industry.

The International Journal of Bank Marketing wishes to retract the article Kaushik, A.K. and Rahman, Z. (2015), “Innovation adoption across self-service banking technologies in India”, published in International Journal of Bank Marketing, Vol. 33, No. 2, pp. 96-121.

It has come to our attention that the article contains substantial similarities to the following article: Curran, J.M. and Meuter, M.L. (2005), “Self-service technology adoption: comparing three technologies”, Journal of Services Marketing, Vol. 19 No. 2, pp. 103-113, https://doi.org/10.1108/08876040510591411.

The authors have fully cooperated with this investigation and supplied the original dataset for review. Using this dataset, the editorial team were unable to replicate the results included in the article, and as a result, the decision has been made to retract the article.

The International Journal of Bank Marketing author guidelines make it clear that articles must be original and must not infringe any existing copyright.

The journal apologises to both Professor Curran and Professor Meuter, and its readers.

This study aims to extend and revise the basic technology acceptance model (TAM) by analyzing the impact of trust and subjective norm (SN) on consumers’ attitude and behavioral intention toward adopting self-service technologies (SSTs) in offline retail environments.

Primary data were collected through field and online surveys, resulting in 651 usable responses. Hypotheses involving all variables of extended TAM, and their mutual relationships, are examined in this study of offline consumer adoption behavior.

The findings reveal that trust significantly affects both consumers’ attitudes and their behavioral intentions, while SN also affects intention to adopt. It is recommended that future researchers use a more comprehensive version of TAM and consider trust and SN when analyzing offline consumer adoption behavior.

All the SSTs included in this paper belong to the retail industry, which limit the generalizability of the findings to other industries. Many other limitations are also discussed.

The practicality of our findings guides managers and designers of technological interfaces. Furthermore, the practical implications are discussed and directions for future research are also provided.

This study recommends the usage of numerous SSTs in organized retail stores. The society will also benefit from the effective implementation of such SSTs.

Trust and SNs have been incorporated as two additional variables to analyze offline adoption behavior of retail customers. This has not been done before, as most studies have focused on adoption behavior of customers in online environments.

Milling is a flexible creation process for the manufacturing of dies and aeronautical parts. While machining thin-walled parts, heat generation during machining essentially affects the accuracy. The workpiece temperature (WT), as well as the responses like material removal rate (MRR) and surface roughness (SR) for input parameters like cutting speed (CS), feed rate (F), depth-of-cut (DOC), step over (SO) and tool diameter (TD), becomes critical for sustaining the accuracy of the thin walls.

Response surface methodology was used to make 46 tests. To convert the multi-character problem into a single-character problem, the weightage was assessed using the entropy approach and the grey relational coefficient (GRC) was determined. To investigate the connection among input parameters and single-objective (GRC), a fuzzy mathematical modelling technique was used. The optimal performance of process parameters was estimated by grey relational entropy grade (GREG)-fuzzy and genetic algorithm (GA) optimization.

SR was found to be a significant process parameter, with CS, feed and DOC, respectively. Similarly, F, DOC and TD were found to be significant process parameters with MRR, respectively, and F, DOC, SO and TD were found to be significant process parameters with WT, respectively. GREG-fuzzy-GA found more suitable for minimizing the WT with the constraint s of SR and MRR and provide maximum desirability of 0.665. The projected and experimental values have a good agreement, with a standard error of 5.85%, and so the responses predicted by the suggested method are better optimized.

The GREG-fuzzy-GA is a new hybrid technique for analysing Inconel625 behaviour during machining in a 2.5D milling process.