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This study aims to determine the export price pass-through elasticity, specifically for Indian exports. It employs static and dynamic panel data techniques to estimate these elasticities. Notably, the pass-through effect is more significant in the long term compared to the short term. The dynamic panel analysis, considering broader economic factors, identifies trade openness and global demand as statistically significant in explaining export price variations. Additionally, the study reveals that the response of export prices to exchange rate changes depends on the nature of those changes, with depreciation having a lesser impact than appreciation. Furthermore, this chapter emphasizes the importance of analyzing these effects at the product level for a comprehensive understanding of the underlying mechanisms. The implications of these findings underscore the crucial role of exchange rates as a policy tool for promoting exports and economic growth, as well as their potential in reducing current account deficits.

This research aims (i) to assess the level of customer satisfaction and loyalty to self-service technologies and Auchan Retail Portugal, (ii) to identify the determinants of customer satisfaction and loyalty to these technologies and also, (iii) to identify their influence on customer loyalty to this modern distribution retailer operating in Portugal.

A conceptual model was defined to meet the research objectives and to carry out the quantitative analysis applied to the random sample (n = 483) of customers. The data used where gathered via an online questionnaire survey, which covered all dimensions of the conceptual model, applied in 2021 in Portugal. To validate the hypotheses, Cronbach’s alpha and multiple linear regression models were used.

The results reveal that customer satisfaction with self-service technologies has a direct and positive effect on customer loyalty to Auchan Retail Portugal. Furthermore, results reveal that the technology utility factors significantly influence the customer technology experience which has an impact on perceived service quality and perceived risk. The findings of this research provide data on how to improve customer adoption and satisfaction with self-service technology and highlight that these technologies should be part of firm’s competitive strategy.

This study presents itself as a novelty for science, while granting important contributions to the retailer. It presents an innovative conceptual model that delivers to Auchan the basis for it to move toward smart retail technologies, aiming at the market trend of personalization. For future research, this study can be used as an instrument to evaluate the customer experience with self-service technology and to examine the determinants and effects of self-service technology separately.

Agriculture in Ethiopia relies heavily on traditional farm power sources and is designated by the lowest farm machinery access, in contrast to other Sub-Sahara African (SSA) countries. The purpose of this research is to analyze the heterogeneity of mechanization service transactions and factors determining farmers' cooperation in mechanization clusters and willingness to accept land consolidation.

The authors conducted a cross-sectional survey of producer households in major crop production areas in the Oromia, SNNPR, Amhara and Tigray regions. The sampling design involved three stages: districts were selected using a stratified sampling approach accompanied by simple random samples of kebele units and producer households in the second and final stages, respectively.

This study’s results show that mechanization service costs, service relationships, clustering and land consolidation exhibit significant heterogeneity across the study areas. Cluster farming was found to be advantageous against diseconomies, rationalized by upgrading the mechanization scale. The probit model parameterization of the probability distributions reveals that household, land, crop, mechanization service, remoteness and location-related factors determine participation in mechanization clusters and willingness to accept land consolidation.

Fostering cooperation by focusing on constraints and demand of users is suggested to reduce transaction costs and expand hired mechanization services to unaddressed areas. The findings are relevant to most SSA countries where mechanization development is hampered by land fragmentation.

Limited information is available on agricultural mechanization development for smallholder farmers, particularly in Ethiopia, and this study adds empirical evidence about the synergy between cluster farming and mechanization, horizontal coordination and alternative supply models.

This study aims to examine the relationship between corporate governance (CG) voluntary disclosure (VD) and firm valuation (FV). Moreover, the study also investigates whether VD mediates the impact of CG on FV or not.

The study is based on a panel data set of top 100 listed firms on Bombay Stock Exchange (BSE) over the period of 2014–2018 and develops CG index and VD index (VDI) in order to capture both the constructs respectively. The author adopts suitable panel data model to examine the relationship between CG, VD and FV as well as indirect impact of CG on FV through mediation of VD. Further, the author uses instrumental variables regression model for robustness check.

The author's findings reveal significant positive impact of CG on FV. Likewise, VD also exhibits significant positive impact on FV. Notably, the interaction of CG and VD complements each other in making positive contribution towards FV. In addition, the author observes that VD partially mediates the impact of CG on FV. Specifically, the outcome suggests that CG apart from having direct impact on FV also influences the same through the mediation of VD. Moreover, as the direction of indirect impact coincide with direct impact, such indirect impact has complementary relationship with the direct impact, implying that when CG makes direct contribution towards improving FV, CG's contribution toward FV through mediation of VD also increases.

To the best of the author's knowledge, this is the first endeavor in the extant literature that examines the interaction performance impact of CG and VD. Further, the author also provides primary evidence on the mediating impact of VD in the relationship between CG and FV.

Growing concern over sustainability adoption has presented an array of challenges to businesses. While vital to an economy's success, banking is not immune to societal, environmental and economic consequences of business practices. The study has examined the sustainable performance of banking institutions on the suggested multidimensional framework comprising economic, environmental, social, governance and financial dimensions and 52 sustainability indicators. The study benchmarks the significant performance indicators of leading banks indispensable to sustainable banking performance. The findings attempt to address research questions concerning the extent of sustainable banking performance, ranking the sustainability dimensions and indicators and standardizing sustainability adoption metrics.

To determine the responsiveness of the banking industry to sustainability dimensions, content analysis was conducted using NVivo software for the year 2021–2022. Furthermore, a hybrid multicriteria decision-making (MCDM) approach is used by integrating entropy, the technique for order preference by similarity to ideal solution (TOPSIS) and VlseKriterijumska Optimizacija KOmpromisno Resenje (VIKOR) to provide relative weights to performance indicators and prioritize banks based on their sustainable performance. Sensitivity analysis is used to ensure the robustness of results.

In the context of the Indian banking industry, the pattern of sustainability reporting is inconsistent and concentrated on addressing environmental and social concerns. The results of the entropy methodology prioritized “Environmental” sustainability over other selected dimensions while “Financial” dimension has been assigned the least priority in the ranking order. The significant sustainable performance indicators delineated in this study should be used as standards to ensure the accountability and credibility of the sustainable banking industry. Additionally, the research findings will provide valuable inputs to policymakers and regulators to assure better contribution of the banking sector in meeting sustainability goals.

Considering the paucity of studies on sustainable banking performance, this study makes two significant contributions to the literature. First, the suggested multidimensional disclosure model integrating financial and nonfinancial indicators would facilitate banking institutions in addressing the five aspects of sustainability. As one of the first studies in the context of the Indian banking industry, the findings would pave the way for better diffusion of sustainability practices. Second, the inclusion of MCDM techniques prioritizes the significance of sustainability indicators and benchmarks the performance of leading banks to achieve better profits and more substantial growth.

Intensive support teams (ISTs) are often poorly understood, despite reports of their effectiveness in managing behaviour that challenges for individuals with an intellectual disability. This paper aims to contribute to the understanding of ISTs through evaluating one IST’s process and their use of positive behaviour support (PBS) as an intervention.

Participants were obtained from the ISTs discharge database, and pre- and post-intervention data from these participants was used for analysis.

Three-paired sample t-tests found that there were significant differences between pre- and post-scores on the behaviour problem inventory, Health of the Nation Outcomes Scale for people with Learning Disabilities and periodic service reviews, which measure quality of targeted, individualised support. This indicates that challenging behaviour frequency and severity were lower post-intervention, quality of life improved post-intervention and staff teams implemented recommended strategies more consistently by the end of the intervention.

This service evaluation captured data over seven-year period, which helps to contribute to the understanding of the effectiveness of ISTs and the PBS framework.

A region’s transforming care partnership identified that autistic adults without an intellectual disability (ID) may be falling through gaps in services when presenting with a significant emotional and/or behavioural need in the absence of a mental health diagnosis. The region’s intensive support teams (ISTs) for adults with ID therefore piloted a short-term “behavioural support service” for this population. The purpose of this paper is to evaluate this pilot.

This study represents a mixed-methods service evaluation over a four year pilot period. The quantitative component examined referral rates and demographic data of accepted and declined referrals; and length of referral episodes and Health of The Nation Outcomes Scores (HoNOS) for accepted referrals. The qualitative component used thematic analysis to identify key themes relating to reasons for referral, clinical/therapeutic needs, and the models of support that most informed assessments and interventions at individual and systems levels.

The ISTs accepted 30 referrals and declined 53. Most accepted referrals were male (83%), and under 24 years old (57%). Average HoNOS scores were above the thresholds generally associated with hospital admission. Key qualitative themes were: transitional support; sexual risks/vulnerabilities; physical aggression; domestic violence; and attachment, trauma and personality difficulties. Support mostly followed psychotherapeutic modalities couched in trauma, attachment and second- and third-wave cognitive behavioural therapies. Positive Behaviour Support (PBS) did not emerge as a model of preference for service users or professionals.

This project represents one of the first of this type for autistic adults without an ID in the UK. It provides recommendations for future service development and research, with implications for Transforming Care policy and guidance.