Ownership influences on corporate social responsibility in the Indian context

The empirical evidence from the extant literature has been equivocal regarding the influence exerted by different ownership types on corporate social responsibility (CSR), especially in developing countries such as India characterized by institutional voids. We use a longitudinal panel dataset of 500 large Indian companies to test a model of corporate ownership forms as key determinants of CSR engagement in India. Based on neo-institutional theory, our model of CSR determinants investigates the roles of three salient aspects of ownership namely multinational ownership/affiliation, state ownership and family ownership and control, after controlling for the influence of firm size, firm age, leverage, the availability of slack resources, profitability and various governance attributes. Our ordered logit regressions indicate strong support for the role of multinational ownership and family control and management in promoting higher levels of CSR engagement. Contrary to expectations, public sector ownership appeared to negatively impact CSR engagement. We offer our conjectures on this anomalous finding and the research possibilities it opens up.     

Do You See What I See? A Simulation Analysis of Order Bundling within a Transparent User Network in Geographic Space

The Physical Internet (PI) concept presents a radical change with the aim to revert the unsustainable practices that are used for transporting goods. It identifies dedicated freight flows and transforms them into transparent open logistics networks which can be accessed by other users, such as shippers and carriers. In this paper, we test the universal network openness in which the users can tap into the PI network and place orders that will be assigned to the nearest available transport service and consequently delivered to the order sender. The objective of our paper is to investigate the impact of inserting extra service points into existing dedicated freight flows of a service‐driven company. We simulate different transparency levels and routings to new pickup locations and evaluate the impact in terms of altered lead times, covered distances, and fill rates. The novel aspects presented herein are (1) deliveries based on decentralized location detection of the nearest order sender, (2) dynamically changing speed parameters of agents within specific geographic clusters based on their geo‐locations in order to account for congestion levels, (3) more realistic routing strategies that consider the urban layout, and (4) transparent querying of nearest agents in space and time that meet specific conditions such as current ongoing processes, available capacity, and position. Finally, we identify the impact from a general/holistic perspective that emerges once extra orders are assigned to the service‐driven company's fleet.     

Combining Census and Survey Data to Trace the Spatial Dimensions of Poverty: A Case Study of Ecuador

Poverty maps provide information on the spatial distributionof living standards. They are an important tool for policymakers,who rely on them to allocate transfers and inform policy design.Poverty maps are also an important tool for researchers, whouse them to investigate the relationship between distributionwithin a country and growth or other economic, environmental,or social outcomes. A major impediment to the development ofpoverty maps has been that needed data on income or consumptiontypically are available only from relatively small surveys.Census data have the required sample size but generally do nothave the required information. This article uses the case ofEcuador to demonstrate how sample survey data can be combinedwith census data to yield predicted poverty rates for the populationcovered by the census. These poverty rates are found to be preciselymeasured, even at fairly disaggregated levels. However, beyonda certain level of spatial disaggregation, standard errors riserapidly.     

Search Engine Advertising Adoption and Utilization: An Empirical Investigation of Inflectional Factors

Search engine advertising (SEA) is a prominent source of revenue for search engine companies, and also a solution for businesses to promote their visibility on the web. However, there is little academic research available about the factors and the extent to which they may influence businesses’ decision to adopt SEA. Building on Theory of Planned Behavior, Technology Acceptance Model, and Unified Theory of Acceptance and Use of Technology, this study develops a context-specific model for understanding the factors that influence the decision of businesses to use SEA. Using structural equation modeling and survey data collected from 142 businesses, this research finds that the intention of businesses to use SEA is directly influenced by four factors: (i) attitude toward SEA, (ii) subjective norms, (iii) perceived control over SEA, and (iv) perceived benefits of SEA in terms of increasing web traffic, increasing sales and creating awareness. Furthermore, the research we discover six additional factors that have an indirect influence: (i) trust in search engines, (ii) perceived risk of SEA, (iii) ability to manage keywords and bids, (iv) ability to analyze and monitor outcomes, (v) advertising expertise, and (vi) using external experts.     

Poverty and social exclusion: two sides of the same coin or dynamically interrelated processes?

There is growing interest in the analysis and measurement of social exclusion, to complement the static and dynamic literature on income poverty. On theoretical grounds, social exclusion and income poverty are seen as different processes, but with closely interrelated dynamics. However, our empirical understanding of the way these two processes dynamically interact at the individual level is still very limited. To shed some light on the issue, we use a dynamic bivariate probit model, controlling for unobserved heterogeneity and Wooldridge (2005)-type initial conditions. Both the first- and second-order Markov dynamics are examined. We estimate the model using the Italian sample of the European Community Household Panel (ECHP), waves 1–8, and find a sizable extent of state dependence in both poverty and social exclusion. Moreover, there are dynamic cross-effects implying that poverty and social exclusion are mutually reinforcing. Social policies aimed at eradicating poverty and avoiding individuals’ social and economic marginalization should take these interaction effects explicitly into account.     

Causality Rules: Performance Feedback on Hierarchically Related Goals and Capital Investment Variability

We extend March and Simon’s (1958) analysis of strategic decisions by distinguishing between two rules for allocating attention – priority versus causality. We develop theory concerning causality rules which have been largely overlooked in prior literature. Specifically, we examine how performance feedback on the intermediate productivity goal and the higher‐order profitability goal independently and jointly influence the variability of firm capital investments. Panel analysis of 2,477 Spanish manufacturing firms reveals that these goals jointly affect the variability of capital investments through both priority and causality attention rules. Our study provides new insights on how firms handle multiple goals, deconstruct performance feedback, and cope with the attentional constraints of bounded rationality.     

The organizational infrastructure of continuous improvement – an empirical analysis

To pursue constant incremental improvements, firms must develop the dynamic capability of continuous improvement (CI). Research suggests that an organizational infrastructure is necessary to sustain CI capability. Although there have been some attempts to delineate a comprehensive model for CI infrastructure, empirical investigation is still underdeveloped. The present study explores key dimensions of the organizational infrastructure—strategic alignment, teamwork for problem solving, and goals management systems. We analyze their effects on CI capability by using a database of 266 firms. We identify the variables that underlie the organizational infrastructure through exploratory and confirmatory factor analysis of measurement items, and then we perform a structural equation model linking the infrastructure to CI capability. Our findings suggest that strategic alignment and teamwork for problem solving affect CI capability. This study contributes to the operationalization of the organizational infrastructure and to the understanding of how it affects CI capability in operations management contexts.     

Middle Class,Government Effectiveness and Poverty in the EU: A Dynamic Multilevel Analysis

Using the 2008-2011 EU-Statistics on Income and Living Conditions data, we implement a dynamic three-level model to analyze poverty persistence in 26 EU countries. We isolate true state dependence phenomena by disentangling the effects of observed and unobserved heterogeneity at country level and employ cofactors not previously considered by the literature. Estimates show that unobserved heterogeneity across individuals remains large, even after explicitly controlling for the observable components of individual characteristics. The initial value of poverty has large effects on current poverty status but this effect is not uniform across countries. The risk of poverty is negatively related to the size of the structural middle class and to the level of structural social expenditure but it increases when lagged total public expenditure increases (with respect to the structural value). There is strong evidence of true state dependence.     

Customer satisfaction evaluation by common component and specific weight analysis using a mixed coding system

Quality & Quantity - The Servqual model (Parasuraman et al. in J Mark 49(4):41–50, 1985; J Retail 64:12–40, 1988) involves a set of five dimensions ranked as the most important for...