Predicting the antecedents of consumers' intention toward purchase of mutual funds: A hybrid PLS-SEM-neural network approach

The current study intends to identify the behavioural antecedents of investors' attitude and investment intention toward mutual funds using a robust SEM-ANN approach. It focuses on novel factors in the purview of the COVID-19 pandemic, increasing digitalization and social media usage. The research outcome indicates that attitude (ATB), awareness (AW) and investment decision involvement (IDI) have a significant positive relation with investment intention (BI). In contrast, perceived barrier (PBR) negatively relates to investment intention. Herd behaviour (HB) and social media influence (SMI) do not influence investment intention toward mutual funds. Moreover, all the tested predictors share direct relation with the attitude toward mutual fund investment, barring perceived risk (PR), which has an inverse relationship. As per the outcome of ANN sensitivity analysis, attitude is the most crucial determinant of investment intention. It is followed by awareness (AW), perceived barriers (PBR) and investment decision involvement (IDI). Among the significant determinants of attitude, self-efficacy (SE) is the most important determinant, followed by perceived usefulness (PU), perceived emergency (PEMER), subjective norms (SN) and perceived risk (PR).     

Contagious diseases and tourism: a systematic review based on bibliometric and content analysis methods

Quality & Quantity - The present study examines the existing knowledge and intellectual structure on contagious diseases and tourism to map the development of the concept through collaborative...     

Scale Development and Validation for Measuring Online Engagement

Although the construct of online engagement has received considerable attention in the consumer behavior literature, academic research lacks clear conceptualization and rigorous measurement of the construct within social media. Further, a lack of consensus remains with regard to the conceptualization and operationalization of engagement in the marketing literature. This study develops and validates a 16-item online engagement scale comprising four factors: conscious attention, affection, enthused participation, and social connection. Strong evidence supports the reliability of the multidimensional conceptualization, as well as its convergent and discriminant validity. The scale offers a framework for future research investigations in an increasingly important area.     

Analysing the impact of restructuring transportation,production and distribution on costs and environment – a case from the Thai Rubber industry

Transportation and distribution are key elements to successful supply chains, however there is some disagreement regarding the impact of distribution and transportation restructuring on costs and the environment. This paper explores the use of an optimisation model of Thailand’s rubber industry supply chain, to assess the impact of distribution and transportation on costs and greenhouse gas emissions. It has previously been observed that there is a positive correlation between transportation cost reduction and environmental impact, nevertheless the correlation is not clearly established when the distribution system is restructured. This paper is divided into two parts: the first part examines the impact of transportation service capacity on distribution decisions; the second part of the paper aims to examine the impact of restructuring the distribution network considering multi-modal options on cost and greenhouse gas emissions. For both parts a scenario analysis is utilised in conjunction with an optimisation model to derive the best possible answer in terms of costs and GHG emissions. In this paper, the results obtained indicate that the impact on cost minimisation from the increase in rail freight service capacity is marginal, while the impact on GHG emission minimisation is more significant. In terms of short-sea shipping prices and service capacity, the scenario analysis shows a slight positive impact on cost minimisation but no positive or negative impact on GHG emission minimisation. Results also confirm that in terms of economic advantages, distribution network restructuring provides greater benefit to the industry than does capacity development for the transportation service.     

Analyzing Customers' Switching Intentions in the Telecom Sector

ABSTRACT

Mobile Number Portability (MNP) has not only affected customers' behavioral patterns, but also increased competition among telecom operators. Against this backdrop, the study examines the relationship between customers' switching intentions and attitude towards MNP, customer loyalty, and switching barriers. It also investigates the impact of these intentions on actual switching or staying behavior of customers. Data were collected from a sample of 260 telecom customers comprising university students. Findings reveal that customers' switching intentions would largely depend upon switching barriers perceived by them. Switching intentions predict both actual staying and switching behavior. Our understanding of switching barriers is limited to those involved in switching from a current service provider to a new service provider. Future research can examine the barriers associated with returning to the original provider and the effect on the decision to leave in the first place, especially in the case of contractual agreements such as BSNL. The present study will help practitioners and telecom service providers in understanding the factors affecting customers' switching intentions to prevent switching.     

Regulating Unfair Trade Practices: an Analysis of the Past and Present Indian Legislative Models

The Monopolies and Restrictive Trade Practices Act, 1969 (MRTP Act) which for the first time incorporated detailed provisions as to unfair trade practices (UTPs) in India has now been repealed and succeeded by the Consumer Protection Act, 1986 which has included the same substantive definition of UTPs. This article analyses the law as to UTPs under the repealed MRTP Act including the cases decided thereunder and compares it with the structure of the Consumer Protection Act with the objective of evaluating whether the present Consumer Dispute Redressal Agencies under the Consumer Protection Act have adequate substantive provisions and effective procedural competence to ward off UTPs. Our analysis of legislative provisions and decided cases shows that the present system of protection against UTPs under the Consumer Protection Act is blighted by a strict and restrictive definition of consumer; lack of in-house enquiry and investigation system, incompetency of traders and trade associations to pursue cases, and lack of inherent power of the Consumer Dispute Redressal Agencies to suo motu take up matters. The article uses analytical and statistical methods to quantify, in terms of actual effect, these drawbacks which significantly hamper the present system and suggests various means to improve the functioning of the system so as to effectively deal with UTPs.     

What motivates the adoption of green restaurant products and services? A systematic review and future research agenda

Issues regarding green restaurants have received significant scholarly and practitioner attention in the last decade, particularly concerning why consumers adopt green restaurants. Although several reviews exist on green hospitality, a comprehensive review of the literature on consumers' green restaurant adoption is currently lacking. The following systematic literature review examines 50 research studies published on the consumer adoption of green restaurant services to address this gap accordingly. Through a detailed content analysis, the research profile and thematic analysis are presented. The review further identifies four key thematic foci: (a) consumer behavior variables studied, (b) antecedents internal to the consumer, (c) antecedents due to the perception of external factors, and (d) moderators. Limitations and gaps from each of the themes are offered with potential future research questions. The novelty of the review lies in the development of a “green restaurant adoption research framework” that cuts across multiple theoretical perspectives to summarize why consumers adopt green restaurant services.     

Ownership structure,size, and interest income substitution by banks: An exploratory study in the Indian context

This study explored how emerging economy banks are rebalancing their interest income and non-interest income to ensure stability. We set our study in India during the period 2005–2017. Interestingly, we observe that time–series correlation of interest income growth and non-interest income growth for public sector banks as well as for private banks is on the negative side. We applied panel vector auto regression and generalised method of moments methodology. This study found that when bank interest income falls, they try to increase their non-interest income to offset their losses to a certain extent, and the trend is increasing. Public sector banks are overall substituting non-interest income for a reduction in the margin, and there is an increasing trend for this substitution. Based on the size of banks, it has been found that change in non-interest income in the subsequent year due to change in interest income in the previous year is there for large banks, whereas no such significant change has been found in case of small banks.     

Consumers’ Behavioral Intentions Toward Self-Service Technology in the Emerging Markets

ABSTRACT

Self-service technologies (SSTs) allow customers to offer their own service encounters via the interaction of electronic service interfaces or machines rather than by interacting with a firm's service personnel. This lack of personal interaction generates doubts and queries in the minds of the people, especially those unaware or less aware of these technology-based services. Such a situation is quite prevalent in the developing nations (like India), where still a large number of people are apprehensive about using the latest technologies. In this regard, the present study aims to develop an integrated model designed to predict and explain the various factors that influence customers’ behavioral intentions to use or not to use one particular SST (i.e., ATM services). The study finds that bank customers are less innovative and less optimistic to try out new technologies. Usefulness of the technology helps in developing positive attitude toward the technology, which in turn affects customers' intentions to use that technology.     

CONDITIONAL DURATION MODELS FOR HIGH‐FREQUENCY DATA: A REVIEW ON RECENT DEVELOPMENTS

This paper reviews the recent literature on conditional duration modeling in high‐frequency finance. These conditional duration models are associated with the time interval between trades, price, and volume changes of stocks, traded in a financial market. An earlier review by Pacurar provides an exhaustive survey of the first and some of the second generation conditional duration models. We consider almost all of the third‐generation and some of the second‐generation conditional duration models. Notable applications of these models and related empirical studies are discussed. The paper may be seen as an extension to Pacurar.