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Usage of updated technology is continuously empowering customer relationship management (CRM) to be convenient and user friendly, where customers are kept engaged with knowledge and information. This enables them on decision-making and managing their portfolio, especially in mutual fund investments. To improve toward a positive decision, certain quality related variables needed to be considered. Thus, this study aims to estimate the mediation effect of relationship quality and outcome (RQO) between CRM and investment decision-making in mutual funds (MFD).

The descriptive study adopted the constructs from existing empirical literatures to conceptualize the model with three higher order constructs with 12 dimensions. Survey method is used, and with a structured questionnaire, a total of 323 mutual fund investors were approached using nonprobability criterion sampling technique, of which 262 relevant responses were considered for estimating the structural model. Smart PLS was used to establish the relationship of the constructs.

The result emphasizes a significant direct and indirect relationship indicating that investors are more inclined to MFD through technology-enabled CRM and RQO plays a vital role in explaining the direct relationship between CRM and MFD. The results of the study are in-line with the existing literature.

The study highlights that financial institutions must focus not only on technological diffusion but also needs to ensure quality service by providing knowledge and information during every access of transactions by customers, making them independent and confident during investments.

This study indicates how capacity efficiency, which is a part of service productivity, can be managed without affecting the outcome efficiency by incorporating technology in the place of human interaction during relationship acquiring and retaining process.

This study aims to investigate the effects of peers on corporate payout policies in one of the largest emerging markets – India. It also examines the motives for mimicking payout decisions.

The sample is composed of 3,024 non-financial and non-government firms listed on the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) for the period 1995 to 2020. To encounter the endogeneity problem, the instrumental variable technique based on peer firms' idiosyncratic risk is used to estimate the effects of peers on firms' payout policy. To define peer reference groups, the authors use the basic industry classification of the firms.

The results indicate a significant positive impact of peers on firms' dividend policies in India. A firm with all dividend-paying peers is more likely to declare dividends than the one with no dividend-paying peers. Further, peer effects are found to be more pronounced amongst larger and older firms, thus supporting the rivalry theory of mimicking.

To the best of the authors' knowledge, the present study is the first of its kind that attempts to understand peer effects on payout decisions in an emerging market India, that offers a unique institutional setting. Moreover, the authors extend the existing literature by investigating the peer effects on a firm's payout policies considering various firm-level characteristics, such as growth opportunity, cash holding, financial constraint and profitability, which previous studies have not taken into consideration. These results provide additional insights into the heterogeneity and motives behind peer effects.

The aim of this study is to measure the mediating effect of emotional intelligence on job satisfaction and firm performance of small business and to identify the critical success constructs and significant path of emotional intelligence in relation to job satisfaction and firm performance.

This study provides an analysis of the relevant literature that has been published on the renowned journal of small business. This study’s theoretical framework and constructs were developed based on prior research of emotional intelligence in small business. Along with, data were gathered from 355 respondents, with a valid response rate of 73.95%. This study used the SEM-PLS to measure the validity of the theoretical framework and test the hypothesis.

This study revealed that infrastructure, leadership and management, salary, working hours, working environment and emotional intelligence are very crucial for job satisfaction and firm performance. Emotional intelligence mediated the relationship between five job satisfaction factors (working hours, organizational infrastructure, leadership and management, working environment, salary and other benefits) and firm performance. Thus, this study can contribute to enhancing firm performance and developing a new dimension of small business.

The result of this study will assist the researchers and service providers in understanding the mediating effect of emotional intelligence on job satisfaction and firm performance of small businesses. Thereby, policy formulation in the era of training of employees, leadership and technology-based services orientation will assist to in enhancing opportunities for small businesses and upholding sustainable business.

To the best of the authors’ knowledge, this study is the first to analyze the link of the mediating effect of emotional intelligence on job satisfaction and firm performance of small business.

This paper proposes a new simultaneous optimization model of the industrial systems design and maintenance. This model aims to help the designer in searching for technical solutions and the product architecture by integrating the maintenance issues from the design stage. The goal is to reduce the life-cycle cost (LCC) of the studied system.

Literature indicates that the different approaches used in the design for maintenance (DFM) methods are limited to the simultaneous characterization of the reliability and the maintainability of a multicomponent system as well as the modeling of the dynamic maintenance. This article proposes to go further in the optimization of the product, by simultaneously characterizing the design, in terms of reliability and maintainability, as well as the dynamic planning of the maintenance operations. This combinatorial characterization is performed by a two-level hybrid algorithm based on the genetic algorithms.

The proposed tool offers, depending on the life-cycle expectation, the desired availability, the desired business model (sales or rental), simulations in terms of the LCCs, and so an optimal product architecture.

In this article, the term “design” is limited to reliability properties, possible redundancies, component accessibility (maintainability), and levels of monitoring information.

This work is distinguished by the use of a hybrid optimization algorithm (two-level computation) using genetic algorithms. The first level is to identify an optimal design configuration that takes into account the LCC criterion. The second level consists in proposing a dynamic and optimal maintenance plan based on the maintenance-free operating period (MFOP) concept that takes into account certain criteria, such as replacement costs or the reliability of the system.

The purpose of this paper is to examine the relevance of information, transparency and information efficiency in short-run performance of new issues. The current research evaluates the short-run performance of IPOs during 2005-2012, which even includes the recessionary period. The present study evaluates the impact of informational variables on first-day returns.

The short-run performance of the IPOs is measured through market adjusted excess return. A structural equation model (SEM) has been designed to identify how information influences the short-run performance of IPOs.

The results of structural model reveal that the sale of promoters’ stake and underwriters’ reputation are the major contributors towards information and are found to be highly significant statistically. The model also shows that the issue size (a component of information) is statistically insignificant at 5 per cent. The model suggests that the availability of information has negative impact on the first day returns indicating that the issuer which disclose maximum information to the public get lower returns on the listing day and hence, their issues are less underpriced.

The present study has a contribution in investment decisions for global investors, as the participation of international investors is common in IPOs of emerging markets. The findings of the study are expected to be useful to the practitioners in predicting the pricing of IPOs based on the informational variables influencing their performance.

The global pandemic has had a considerable effect on organisations’ performance and development and on the daily lives of the general population. This study aims to analyse the recent literature on the topics of Covid-19 and sustainability and proposes to rethink and redefine sustainability with the intersection of human health as a fourth sustainable pillar.

Using the Scopus and ISI Web of Science databases, 119 articles were analysed in detail and classified according to concepts and principles for achieving sustainable development, based on the Brundtland Report, 1987.

The results indicate a high number of publications in the social dimension, with a relevant proportion of studies in the health sector. This study allows us to conclude that all sectors of society are being affected by the pandemic. However, the enormous tension and the immediate impact felt by the health sector during the pandemic reflect directly on the population, and there are clear signs that in the medium and long term, instability and uncertainty in the environmental, economic and social dimensions will remain. In national health systems, monitoring, innovating in human resource management and investing in information technology can ensure organizations’ reliability and sustainability. The conclusion involves the suggestion of introducing health as a new pillar for sustainability to consolidate the basis and structure of the United Nations’ Sustainable Development Objectives. The use of fundamental concepts is necessary and must be aligned to reassess the results obtained in studies, in comparison with observational data.

The implications arising from the inclusion of health as a fourth pillar of sustainability are diverse. The need to build a new theoretical and conceptual framework for sustainability derives from the fact that health reflects the concern of many postulants in this field of practices. The determining or conditioning conditions of the observed effects of the pandemic by COVID-19, whether situated simply as factors and/or economic, environmental or social reflexes that precede them, requires a conceptual development that allows its approach, as a complex object, whose determinations are subject to variable degrees of uncertainty and diversity.

This study aims to redefine the concept of sustainability, considering that health has become a public health emergency of international interest. Health affects the supply chain, cash flow, interferes with the educational format and interrupts the workforce’s routine, among other aspects, showing the true nature of its importance and its impact in all spheres (economic, environmental and social).

This study aims to empirically investigate the relationship between artificial intelligence (AI) in marketing (AIM) and business performance from the resource-based view (RBV) perspective.

A survey strategy was used in this study to collect data from 225 small and medium enterprises (SMEs) respondents who were on the registered list of the Ghana Enterprise Agency in the Eastern Region of Ghana. Structural equation modeling – path analysis was used to estimate the impact of AIM on the performance of SMEs.

The analyzed data shows that AIM has significant impact on the financial performance, customer performance, internal business process performance and learning and growth performance in the case of SMEs in Ghana. This study establishes the significance of AIM approach in achieving financial performance, customer performance, internal business process performance and learning and growth performance through the application of AIM determinants including, Internet of Things (IoT), collaborative decision-making systems (CDMS), virtual and augmented reality (VAR) and personalization.

Aside the aforementioned significance of this research study, this study has limitations. The sample size of this research study can be expanded to include SME respondents in other geographical areas that were not considered in this study. Future research studies should concentrate on how AIM can analyze customer communications and information such as posts on social media to develop future communications that may enhance customer engagement.

The practical implications comprise of two key items. First, this research study encourages SME owners and managers to develop an AIM method as a fundamental strategic goal in their pursuit to improve SME performance. Second, SME owners and managers should increasingly implement the four determinants of AIM indicated in this research study (i.e., IOT, CDMS, VAR and personalization) to develop essential resources for effective application of AIM to improve their performance.

The results of this study provide a strong support to RBV theory and the proposition that AIM and its determinants (i.e., IOT, CDMS, VAR and personalization) should be recognized as an essential strategic resource for improving the performance (i.e., financial performance, customer performance, internal business process performance and learning and growth performance) of SMEs. This study also contributes to the current body of knowledge on AIM and management, particularly in the context of an emerging economy.

This study aims to investigate technology-based health and safety (H&S) management to control the spread of disease on construction sites using a partial least squares structural equation modelling (PLS-SEM) approach.

An extensive literature review is conducted to develop a conceptual framework. The variables identified from the literature review are included in a cross-sectional survey which gathered a total of 203 valid feedback. The variables for challenges are grouped under their relevant construct using exploratory factor analysis. Then, a hypothesized model is developed for PLS-SEM analysis using Smart PLS software. Later, the outcome of the model is further validated by nine construction experts using a semi-structured questionnaire survey.

The results rationalized the relationships between the COVID-19 H&S measures, challenges in implementing COVID-19 H&S measures on construction sites and the innovative technologies in transforming construction H&S management during the COVID-19 pandemic. The possible challenges that obstruct the implementation of H&S measures are highlighted. The potential technologies which can significantly transform H&S management by reducing the impact of challenges are presented.

The findings benefited the industry practitioners who are suffering disruption in construction operations due to the pneumonic plague.

By developing a conceptual model, this study reveals the contribution of technology-based H&S management for construction projects during the COVID-19 pandemic, which remains under-studied, especially in the context of the developing world.