Consumer innovativeness and consumer decision styles: a confirmatory and segmentation analysis

Consumer decision styles (CDS) are important for marketers because they determine consumer behaviours that are relatively stable over time and hence are useful for market segmentation. The study has confirmed the existence of the original US characteristics as well as put forward two new characteristics specific to the Indian context, namely, ‘dissatisfied shopping consciousness’ and ‘store loyal’. Thereafter, a multi-step cluster analysis was employed to classify the respondents into groups based on their CDS. Five homogeneous and distinct decision-making segments have been identified. In order to validate the cluster solutions, a K-means clustering procedure was performed by taking random initial seeds to set the cluster centres. The paper also seeks to investigate whether consumers’ innovativeness is associated with their CDS. The findings are discussed and recommendations are proffered for managers and future research.     

Capability hierarchy in electronic procurement and procurement process performance: An empirical analysis

This paper examines the interrelationship between two hierarchically structured functional capabilities pertinent in the organizational procurement process, and the impact of these capabilities on procurement process performance. These functional capabilities operate at different levels in an organization's procurement process. We draw upon resource- and knowledge-based views of the firm to theorize that in this hierarchy of information technology-enabled procurement capabilities, the higher-level capability – procurement integration competence – enables firms to develop and deploy a lower-level capability – digital procurement competence. Further, we theorize that the lower-level capability impacts procurement process performance directly and completely mediates the relationship between higher-level capability and performance. Thus, although performance is impacted directly only by the lower-level capability, the higher-level capability facilitates the development and use of the lower-level capability. Our research model is tested using survey data from a large sample of 412 manufacturing firms. The results provide strong support for the proposed research model. In particular, we find that as hypothesized, the impact of procurement integration competence on performance is completely mediated by digital procurement competence. Our results suggest that when examined at the procurement process level, the impact of higher-level capabilities may be manifested completely through the lower-level capabilities. Theoretical and practical implications of the research are discussed.     

The relationship between information technology capability,inventory efficiency,and shareholder wealth: A firm-level empirical analysis

Inventories represent an important strategic resource for firms, with implications for shareholder wealth. As such, firms expend considerable effort in managing their inventories efficiently. Among other factors, information technology (IT) capability can play an important role in enabling inventory efficiency and financial performance. However, insight into the chain-of-effects linking IT capability, inventory efficiency, and stock market returns and risk remains limited. In this paper, we provide a conceptual model outlining the relationships between these constructs. Next, we evaluate the model using secondary information on firms from multiple industries across the 10-year time period of 2000–2009. Our analysis confirms that firms’ IT capability plays a significant role in enhancing their inventory efficiency, which, in turn, is observed to increase stock market returns. Our results also reveal that firms’ IT capability directly reduces their stock market risk and enhances their stock market returns. Taken together, these findings, along with the conceptual model that we advance, have important research and managerial implications.     

Experiments on strategic choices and markets

Much of experimental research in marketing has focused on individual choices. Yet in many contexts, the outcomes of one’s choices depend on the choices of others. Furthermore, the results obtained in individual decision making context may not be applicable to these strategic choices. In this paper, we discuss three avenues for further advancing our understanding of strategic choices. First, there is a need to develop theories about how people learn to play strategic games. Second, there is an opportunity to enrich standard economic models of strategic behavior by allowing for different types of bounded rationality and by relaxing assumptions about utility formulation. These new models can help us to more accurately predict strategic choices. Finally, future research can improve marketing practice by designing better mechanisms and validating them using experiments.     

An intelligent and secure system for predicting and preventing Zika virus outbreak using Fog computing

Zika virus is a mosquito-borne disease that spreads very quickly in different parts of the world. In this article, we proposed a system to prevent and control the spread of Zika virus disease using integration of Fog computing, cloud computing, mobile phones and the Internet of things (IoT)-based sensor devices. Fog computing is used as an intermediary layer between the cloud and end users to reduce the latency time and extra communication cost that is usually found high in cloud-based systems. A fuzzy k-nearest neighbour is used to diagnose the possibly infected users, and Google map web service is used to provide the geographic positioning system (GPS)-based risk assessment to prevent the outbreak. It is used to represent each Zika virus (ZikaV)-infected user, mosquito-dense sites and breeding sites on the Google map that help the government healthcare authorities to control such risk-prone areas effectively and efficiently. The proposed system is deployed on Amazon EC2 cloud to evaluate its performance and accuracy using data set for 2 million users. Our system provides high accuracy of 94.5% for initial diagnosis of different users according to their symptoms and appropriate GPS-based risk assessment.     

Descending price multi-item auctions

We propose a simultaneous descending price auction mechanism to sell multiple heterogeneous items, each owned by a distinct seller, to a number of buyers. Each buyer has known private valuations on items, and wants at most one item. We show that if the sellers follow a descending price offer procedure and the buyers follow a greedy strategy for accepting the offers, the auction results in a nearly efficient allocation, and terminates close to a competitive equilibrium price vector. The descending price offer strategy of the sellers is close to a Nash equilibrium. However, we show that the buyers are better off waiting in our auction. There is a maximum limit (corresponding to the minimum competitive equilibrium price vector) till which they can wait without running into the risk of not winning any item. If the buyers wait within this limit, the prices can be brought arbitrarily close to a uniquely defined competitive equilibrium price vector.     

Political connections and the cost of equity capital

Motivated by recent research on the costs and benefits of political connection, we examine the cost of equity capital of politically connected firms. Using propensity score matching models, we find that politically connected firms enjoy a lower cost of equity capital than their non-connected peers. We find further that political connections are more valuable for firms with stronger ties to political power. In additional analyses, we find that the effect of political connection on firms' equity financing costs is influenced by the prevailing country-level institutional and political environment, and by firm characteristics. Taken together, our findings provide strong evidence that investors require a lower cost of capital for politically connected firms, which suggests that politically connected firms are generally considered less risky than non-connected firms.     

Firm-level political risk and implied cost of equity capital

I find a strong positive association between firms' implied cost of equity capital and firm-level political risk. This effect is above and beyond the firm-level cost of equity implications of economywide political risk. Firm-level political risk contributes to elevating stock illiquidity, increases dispersion of analyst forecasts and dampens analyst coverage and these attributes, in turn, have positive cost of equity capital implications. Overall, the findings of this study suggest firm-level political risk has a non-trivial effect on increasing equity market illiquidity, increasing dispersion of earnings forecasts and decreasing analyst coverage thus increasing financing costs.     

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).     

Democracy and Economic Growth in an Interdependent World

We model dynamic interdependence in cross‐country economic growth processes by allowing it to vary according to democratic distance among economies. Stochastic distributional dynamics and temporal effects of democracy on economic growth are studied, and spatial variation in economic growth is explored. Among important results, democratic poverty trap is found to exist indicating the possibility of persistence of (un)stable democratic equilibria at different levels of democracy. Our cross‐sectional regression evinces that democracy has exerted significant growth‐enhancing effect and that the democratic distribution has steadily shifted locus from low‐level to high‐level equilibrium. Our spatial analysis of democracy‐economic growth nexus provide evidence of significant dynamic spatial autocorrelation and complementarity among countries' growth processes. Finally, it is demonstrated that the relevance of geographical proximity in facilitating interdependence in economic growth is overshadowed by relational proximity.