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).     

Social Capital, Household Welfare and Poverty in Burkina Faso

This paper investigates empirically the importance of socialcapital, in the form of local associations and networks, forthe welfare of rural households in Burkina Faso. It draws ona unique database combining standard information on householdwelfare with multidimensional measures of social capital. Theanalysis finds that higher levels of social capital are associatedwith higher household per capita expenditures and better accessto credit. The distribution of social capital was found to bemore equal than that of other assets. Poor households and thosewho own little land obtain a higher return from social capitalthan other households.     

On accounting’s twenty-first century challenge: evidence on the relation between intangible assets and audit fees

Review of Quantitative Finance and Accounting - We inform the policy debate arising from the dramatic shift in US firms’ balance sheets towards intangible assets that has created a challenge...     

Tournament Rituals, Category Dynamics, and Field Configuration: The Case of the Booker Prize

abstract    In this article we theorize the ways in which tournament rituals, in the form of prominent industry award ceremonies, configure organizational fields. We review field theory to distil four criteria to which field-configuring mechanisms should conform. We undertake an archival study of the Booker Prize for Fiction to explore how this tournament ritual has configured the field of contemporary English-language literature by championing the distinctive category of post-colonial fiction.     

Education Dashboards for Enhanced Learning: A Singapore Experience

Educators continue to utilize add-ons, extensions, or replacements to traditional Learning Management Systems (LMSs) to supplement capabilities and improve the classroom experience. This work resulted in the design and development of the Education Dashboards for Enhanced Learning (EDEL) template. The EDEL template enables faculty members to create dynamic web spaces called Knowledge Portals (KPortals). A semester-long introduction of KPortals proved to be positive and useful. Students tended to view the KPortal as a “go-to” webspace. The authors hope to refine the template in future studies and examine its usefulness in other countries.     

Leveraging Virtual Attribute Experience in Video Games to Improve Brand Recall and Learning

This article extends the concept of virtual direct experience (VDE) from a product to an attribute as video gamers can virtually experience an attribute within a gaming environment. Using a 2 (VAE: present versus absent) x 2 (order of brand presentation: first or second) between subjects experimental design, we find that associating a brand with virtual attribute experience (VAE) by exposing consumers to the brand name and the virtual experience simultaneously has a positive effect on brand recall, brand extension acceptance, overall attitude, and purchase intention. In addition, our results demonstrate a significant interaction between VAE and telepresence on brand recall.     

Contextual and Competitive Interference: Inhibition or Facilitation?

Existing literature has found two sources of advertising interference, competitive and contextual, that decrease the effectiveness of an ad in a cluttered environment. However, to date, the negative impact of competitive and contextual interference has been examined independently. This research explores advertising effectiveness when these sources exist concurrently. Contrary to the supposition concerning the additive effects of both sources of interference when simultaneously present, our findings indicate that viewing ads for the same product category with similar executional elements leads to the dissipation of interference effects (Study 1). Consistent with the process rationale, when a product-brand cue (versus a picture cue) is provided, this novel effect disappears (Study 2). The implications of these findings for advertising are highlighted in the discussion section.     

Structural models of complementary choices

This article reviews the rapidly growing literature on structural models of complementary choices. It discusses recent modeling developments and identifies promising areas for future research.     

The Global Market for Agricultural Machinery and Equipment

Growth in the current-dollar sales of agricultural machinery and equipment was almost six percent per annum during 2000-2005.1 This was much faster than the 2.6 percent growth for agricultural output and the 1.2 percent rate for population in the same period. JEL Classification L64     

Challenges and opportunities in high-dimensional choice data analyses

Modern businesses routinely capture data on millions of observations across subjects, brand SKUs, time periods, predictor variables, and store locations, thereby generating massive high-dimensional datasets. For example, Netflix has choice data on billions of movies selected, user ratings, and geodemographic characteristics. Similar datasets emerge in retailing with potential use of RFIDs, online auctions (e.g., eBay), social networking sites (e.g., mySpace), product reviews (e.g., ePinion), customer relationship marketing, internet commerce, and mobile marketing. We envision massive databases as four-way VAST matrix arrays of Variables?×?Alternatives?×?Subjects?×?Time where at least one dimension is very large. Predictive choice modeling of such massive databases poses novel computational and modeling issues, and the negligence of academic research to address them will result in a disconnect from the marketing practice and an impoverishment of marketing theory. To address these issues, we discuss and identify the challenges and opportunities for both practicing and academic marketers. Thus, we offer an impetus for advancing research in this nascent area and fostering collaboration across scientific disciplines to improve the practice of marketing in information-rich environment.