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In this paper, we review the literature on pay variation (e.g., pay dispersion, pay compression, pay range) in organizations. Pay variation research has increased markedly in the past two decades and much progress has been made in terms of understanding its consequences for individual, team, and organizational outcomes. Our review of this research exposes several levels-related assumptions that have limited theoretical and empirical progress. We isolate the issues that deserve attention, develop an illustrative multilevel model, and offer a number of testable propositions to guide future research on pay structures.

The purpose of this paper is to explore the nature of a competitive action and its impact on the response of rivals in the digital market. Specifically, this paper introduces the concept of action complexity and action variation to delineate the configuration characteristics of each digital competitive action and empirically investigates how these action characteristics further affect rivals’ response speed.

This paper uses structural content analysis methods to code competitive actions based on the news of Chinese online travel agencies (OTAs) from 2010 to 2015. The cox proportional hazards regression models are employed to test the hypotheses.

The results indicate that action complexity of the focal firm is negatively associated with rivals’ response speed as it constrains their interpretation (awareness), motivation and capability to respond, while action variation of the focal firm is positively associated with rivals’ response speed as it enhances their attention (awareness) and motivation to respond. Furthermore, the negative relationship between action complexity and response speed is weaker when action variation is high.

Further to advancing competitive dynamics theory, this paper proposes an action-configuration perspective to explore the particular content and quality of each digital competitive action. The discussion of competitive rivalry between OTAs also enriches the application of competitive dynamics in the digital market. Meanwhile, this paper further clarifies the decision-making process of rivalry drawing on the awareness–motivation–capability (AMC) framework.

Rental housing is an important form of accommodation; evaluating its quality will improve the quality of designs, standard living of renters, new dimension to policy guiding rental housing and enhance the values of rental houses. This study aims to examine the factors influencing rental housing quality in Ile-Ife, Nigeria.

Multi-stage sampling procedure was used to select tenants for the study. Residential areas were stratified into three densities: high, medium and low. Out of the 18 residential areas identified, six, eight and four were in the high, medium and low densities, respectively. Five residential areas were selected based on high concentrations of rental housing. The selected areas are Mokuro and Iloro (high density), Ife City and Eleyele (medium density) and Aladanla (low density). Systematic sampling technique was used to select 550 buildings where an adult tenant was selected per building for questionnaire administration.

The results of the principal component analysis established that four factors were generated for the high-density, nine factors for the medium-density and five factors for low-density areas as the major factors influencing rental housing quality. The variation in the number of factors generated and the percentage variance explained by the factors could be associated to the peculiarities across the densities in terms of the socioeconomic characteristics and housing characteristics of the renters.

This study examined the factors influencing housing quality for renters in Ile-Ife, Nigeria. It provides information on the three residential densities in terms of the variation in their housing morphology. The study went further to establish the relationship among the three musketeers such as socioeconomic characteristic of renters, housing characteristics and housing quality, under three dimensions environmental, internal building and external Building. Therefore, the contribution of this study strengthens the position that a minimum standard and schedule of upgrade and maintenance should be meted out for landlords to carry out repairs at interval, so as to make the housing unit and environment habitable for tenants.

The purpose of this paper is to propose that transportation modal mix in global supply chains is a result of the strategic alignment between industry characteristics and supply chain strategies.

Using annual US trade statistics and manufacturing industry data for the years 2002-2009 between the USA and its top 12 Asian trading partners, this study applies various regression methods to examine key factors associated with the transport modal decision.

The results show that industry characteristics have an impact on the transportation modal mix in global supply chains. Manufacturing industries use more air freight and less ocean freight when facing positive sales surprises, high-monthly demand variation, a high-contribution margin ratio, a high cost of capital, and increased competition.

The findings provide important insights for logistics managers and freight forwarders. While transportation cost remains an important concern, a logistics manager must also consider non-cost factors such as competition, working capital, and demand uncertainties in their modal decisions. Freight forwarders should be supply chain solution providers who consider all of these industry factors and suggest a proper mix of transportation modes for their customers.

This study is among the first efforts to examine the impact of industry characteristics on the transportation modal mix in global supply chains. This study first develops a theoretical framework for the modal choice decision for international transportation movements and then, using an extensive and innovative data set, provides new findings regarding current air freight practices in global supply chains.

Previous research has provided substantial attention to how individual-level challenging experiences lead to individual- and organization-related outcomes. This paper aims to expand existing challenging experiences theory and research by proposing a theoretical framework that addresses how challenging experiences differentiation relates to work unit effectiveness.

The authors integrate the literature on challenging experiences with that of work unit identification and citizenship behavior to shed light on the intervening mechanisms through which challenging experiences differentiation relates to work unit effectiveness.

The authors’ theoretical framework proposes that challenging experiences differentiation diminishes work unit effectiveness through the mediating roles of variation in work unit identification and variation in citizenship behavior among unit members.

By linking challenging experiences differentiation and work unit effectiveness, the authors’ framework highlights the importance of studying challenging experiences at the unit level of analysis.

The purpose of this paper is to investigate the impact of demand uncertainty on inventory turnover performance through empirical modeling. In particular the authors use the inaccuracy of quarterly sales forecasts as a proxy for demand uncertainty and study its impact on firm-level inventory turnover ratios.

The authors use regression analysis to study the effect of various measures on inventory performance. The authors use a sample financial data for 304 publicly listed US retail firms for the 25-year period from 1985 to 2009.

Controlling for the effects of retail segments and year, it is found that inventory turnover is negatively correlated with mean absolute percentage error of quarterly sales forecasts and gross margin and positively correlated with capital intensity and sales surprise. These four variables explain 73.7 percent of the variation across firms and over time and 93.4 percent of the within-firm variation in the data.

In addition to conducting an empirical investigation for the sources of variation in a major operational metric, the results in this study can also be used to benchmark a retailer’s inventory performance against its competitors.

The authors develop a new proxy to measure the demand uncertainty that a firm faces and show that this measure may help to explain the variation in inventory performance.

The purpose of this paper is to examine resource allocation under the centrally sponsored scheme Sarva Shiksha Abhiyan (SSA) and its impact on development of elementary education in India. First, the author describes the current educational disparity across states in terms of state funding. Second, the author shows that interstate disparities in education resources have more to do with capacity of states to finance elementary education. For this, the author examines funding mechanism under SSA, focusing on principles of adequacy and absorptive rates. Third, the author analyzes the impact of additional funding on the progress of elementary education across states. Fourth, the author demonstrates how funding under SSA reinforces rather than reduces interstate disparity in school funding. Finally, the author concludes with certain policy implications for reforming federal transfers in Right to Education (RTE)-SSA, which can easily be extended to Rashtria Madhya Shiksha Abhiyan (RMSA) to be more responsive to educational inadequacy, effort and capacity across states.

The author uses box plots for illustrating interstate disparity across various indicators on financing and growth of elementary education. Box plots are good at portraying extreme values and illustrate differences between distributions. Because the thrust of the paper is examining difference in distribution across and within states, box plots appropriately portray the distribution of both. Further, coefficient of variation is estimated in education funding and its impact variables.

Interstate disparity in additional to the funding of SSA through discretionary transfers is examined by looking at two principles of inter-governmental transfers, viz., adequacy and absorptive rates. In a way, it appears that the educationally backward states getting the highest shares and also as per the requirement of the child population, but not necessarily so in terms of their relative proportions of enrolment, schools and teachers. Yet another revelation is that actual absorptive rates are much less than apparent absorptive rates. Unambiguously, additional resources coming from the Center for Development of Education can have a positive influence only after states have achieved a certain threshold level of absorptive capacities. As evidenced, fiscal disability is not compensated by transfers via SSA, as matching shares are uniform across states.

One significant limitations of the study is its use of administrative data. Often, administrative data from developing countries especially on social sector like education report inflated figures. The study uses primarily such but published secondary data sources.

Finally, the author suggests certain policy implications for reforming federal role in the current RTE-SSA, which can easily be extended to RMSA, a CSS in secondary education, to be more responsive to state effort and capacity.

Though SSA attempts to address regional imbalance, the accumulated initial advantage of better-off states with uniform norms under SSA funding widens the interstate disparity rather than reduce it. It is, hence, mandated to look at building capacities and enable states for a level-playing field.

It adds value to existing studies in two ways: rarely studies examine SSA expenditures and its impact on development and financing of elementary education, and examine a question on horizontal equalization mechanism whether additional allocation under SSA induce or reduce interstate disparity.

Purpose — This study proposes an optimal survey design method for multi-day and multi-period panels that maximizes the statistical power of the parameter of interest under the conditions that non-linear changes in response to a policy intervention over time can be expected.

Design/methodology/approach — The proposed method addresses balances among sample size, survey duration for each wave and frequency of observation. Higher-order polynomial changes in the parameter are also addressed, allowing us to calculate optimal sampling designs for non-linear changes in response to a given policy intervention.

Findings — One of the most important findings is that variation structure in the behaviour of interest strongly influences how surveys are designed to maximize statistical power, while the type of policy to be evaluated does not influence it so much. Empirical results done by using German Mobility Panel data indicate that not only are more data collection waves needed, but longer multi-day periods of behavioural observations per wave are needed as well, with the increase in the non-linearity of the changes in response to a policy intervention.

Originality/value — This study extends previous studies on sampling designs for travel diary survey by dealing with statistical relations between sample size, survey duration for each wave, and frequency of observation, and provides the numerical and empirical results to show how the proposed method works.

Financial theory suggests that with increasing labor income risk, the reluctance of households to hold stocks increases. Therefore, this paper aims to investigate the determinants of a household’s decision on whether to invest in risky financial assets.

Income risk is measured as the observed variation of household income over a five-year period. The authors use both the time and the cross-sectional dimension of the German socio-economic panel to control for unobserved heterogeneity.

The authors find that indeed higher variation, i.e. higher income risk, reduces the propensity to invest in risky assets. However, when controlling for household heterogeneity, as well as subjective measures of a household’s financial situation (income satisfaction, worries about financial situation), the impact of observed labor income variation vanishes. It is therefore concluded that in particular the perception of investment risk and of the riskiness of the environment determines the investment decision to a great extent.

The paper contributes to a better understanding of a household’s investment decision-making process. To the best of the authors’ knowledge, it is the first to fully exploit the panel structure of the data to control for unobserved heterogeneity which leads to novel conclusions with respect to the effect of labor income.

The purpose of this paper is to investigate the determinants of the probability of being a teleworker and the extent of earnings differentials between teleworkers and traditional employees.

The analysis is grounded on a theoretical framework depicting endogenous telework assignment and wage variations based on individual bargaining. The empirical strategy allows for non-random telework assignment, generating from individual- and job-specific observed as well as unobserved factors.

Results are based on the Italian labor force survey and uncover a key role of gender, higher education and family composition as determinants of the probability of teleworking. Furthermore, teleworkers enjoy a wage premium ranging between 2.7 and 8 percent.

Accounting for observed individual and job-specific effects, by both standard linear regression and propensity score matching, largely reduces the extent of wage premium emerging from unconditional descriptives; the results of an endogenous switching regression model however suggest that failing to properly care for unobserved factors leads to the underestimation of returns to telework.