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The study examines the relationship between perceived unfair pay and job satisfaction and how this relationship is contingent on organizational hierarchical rank.

The proprietary data are from ongoing surveys of individual workers conducted by a major Polish human resource consulting firm. The pooled cross-section dataset is comprised of nearly 330,000 individuals working in the Polish labor market during 2015–2017. Drawing upon various theories, the authors formalize and test three hypotheses. The estimations are performed using the ordered probit method.

Ceteris paribus, job satisfaction is increasing with organizational hierarchical rank; perceived unfairness of pay is negatively associated with job satisfaction, and organizational hierarchical rank exacerbates this negative relationship by making it stronger for employees holding higher organizational positions.

First, prior research is mainly confined to studying pay satisfaction as a contributing factor to job satisfaction, and perceived fairness of pay was rarely considered. Second, very few studies examine the role of hierarchical level as a moderator in the relationship between organizational justice and workplace outcomes. Third, the authors add to the scarce empirical literature on job satisfaction for post-Communist Central and East European countries as only a limited number of such studies exist for Poland.

This paper seeks to examine a variety of measures of complaints and their relationship to police officers' use of coercion in encounters with suspects.

Data from the Project on Policing Neighborhoods, involving the systematic social observation of police, were combined with complaint data from the St Petersburg Police Department to examine the influence of complaints on use of coercion in everyday encounters. Hierarchical models, which included theoretically relevant control variables, were used to test multiple measures of departmental and citizen complaints as predictors of officers' use of coercion.

The analyses indicate that, net of other important predictors, officer complaint rate for force and verbal discourtesy is associated with higher levels of coercion in encounters with suspects. The analyses also indicate that officers' verbal discourtesy complaint rate is associated with higher levels of coercion, but complaint rates for physical force are not related to higher levels of coercion.

The current results do not necessarily generalize to all police departments, since the department, at that time, was a leader in community policing.

The influence of complaints for force and discourtesy on coercion suggests that police departments could benefit from greater attention toward officers who generate complaints for discourtesy from the public.

This paper examines the utility of official complaint data as a determinant of officers' coercive behavior in encounters with suspects. The research would be of interest to police executives concerned with creating “early warning systems” as well as police scholars concerned with the determinants of officer coercion.

This paper reviews the use of logit and probit models in marketing and focuses on demonstrating the use of ordered probability models. This type of model is appropriate for many applications in marketing and business where the dependent variable of interest is ordinal (e.g., likert scales). A comparison between the properties of the ordinary least squares (OLS) model and ordered logit and probit models is made using consumer satisfaction data on automobiles. This comparison between the two models shows that the use of OLS for ordered categorical data gives misleading results and produces biased estimates, leading to inaccurate hypothesis testing. The paper concludes that ordered probability models, such as the ones illustrated, should be employed in marketing and business research where the dependent variable is ordinal.

This study aims to investigate the safety and liability of autonomous vehicles (AVs), and identify the contributing factors quantitatively so as to provide potential insights on safety and liability of AVs.

The actual crash data were obtained from California DMV and Sohu websites involved in collisions of AVs from 2015 to 2021 with 210 observations. The Bayesian random parameter ordered probit model was proposed to reflect the safety and liability of AVs, respectively, as well as accommodating the heterogeneity issue simultaneously.

The findings show that day, location and crash type were significant factors of injury severity while location and crash reason were significant influencing the liability.

The results provide meaningful countermeasures to support the policymakers or practitioners making strategies or regulations about AV safety and liability.

This paper aims to investigate whether cultural dimension of power distance, which is the extent that inequality is expected and accepted in societies, can explain underlying differences in landlord-tenant practices (LTP) across countries.

The authors use a sample covering countries from different regions. They apply the ordered probit regressions to estimate the relationships between the explanatory variables and LTP.

The results show that hierarchical societies demonstrate more pro-landlord practices. This finding is robust to alternative measures of power distance and different sample sizes. In addition, the authors find that countries with larger rental sectors and larger numbers of landlords with mortgages demonstrate more pro-tenant practices. The results also show that differences in LTP across countries are not significantly influenced by legal origin.

To the best of the authors’ knowledge, very limited studies have investigated the determinants of LTP across countries. In addition, while cultural values such as power distance have been used to explain the economic, social and financial variables, less, if any, number of studies have used them to explain the variation of real estate market variables such as LTP.

The purpose of this paper is to investigate the determinants of financing preference of micro and small enterprises (MSEs) whilst distinguishing a broader range of financing sources beyond what is typically the case within the corporate finance literature.

Under the framework of ordinal logistic regression, the paper also tests whether there is evidence of hierarchical preference ordering as predicted by pecking order theory (POH) using field survey data for 2009.

The authors relate that new enterprises are more likely to prefer low cost and less risky or less formal financing such as internal or bootstrap finances. However, as the enterprise gets established or matures, its capacity to seek formal financing increases, thereby becoming more likely to prefer or being in a higher category of formal financing. While the paper affirms the POH, it is argued that this order is a consequence of severe persistent constraints other than sheer preference. The findings further reveal that, microentrepreneur's and MSE's‐specific level socio‐economic characteristics such as owner's education or financial literacy status, households tangible assets, ownership structure, enterprise size, as well as sensitivity to high interest rates in the credit market, to be important determinants of either past (start‐up), present or future financing preference.

The main value of this paper is to analyse the determinants of financing preference of MSEs within the context of rural financial market (RFM) from a developing country perspective.

Further understanding of structural hierarchy is critically needed to assess the usefulness of different alliance structures. This study goes beyond transaction cost reasoning and incorporates social exchange theoretic perspective with the aim of capturing the concurrent relationships of alliance type and specific alliance experience with hierarchy of alliance structure.

Logistic regression analysis of data on 402 strategic alliances is used to test the two hypotheses advanced in the paper.

The social‐exchange‐based hypothesis is supported – specific alliance experience is negatively related to hierarchy of alliance structure. The transaction‐cost‐based hypothesis is not supported – hierarchy of alliance structure is not greater in horizontal alliances than in vertical alliances.

Strategic alliances with different purposes, such as R&D, supply procurement, marketing, co‐production, and co‐development, may have different industry norms of structuring alliances. This study does not account for these underlying differences within strategic alliances.

The social exchange theory‐based variable (i.e. specific alliance experience) has a more salient influence on alliance structure than does the transaction cost‐based variable (i.e. alliance type). The findings signal the relative importance of communal harmony compared to competitive rivalry.

The paper shows that results suggest that high bureaucratic costs of more hierarchical structures diminish the transaction cost economizing benefits of such structures. This is especially the case when alliances are not expected to experience very high levels of relational hazards (usually in vertical alliances). It appears that partnering firms' concerns with high bureaucratic costs may at times exceed the marginal benefits of control and coordination of exceedingly hierarchical alliance structures.

The purpose of this study is to assess the differences in individual purchasing and voting decisions for livestock products, produced with lower levels of antibiotic use or higher levels of environmental sustainability, by consumers with different degrees of agreement with moral foundation statements.

Data are collected from two national online surveys that were conducted in Canada in 2016 and 2017, including socio-demographic, attitude, belief and stated choice questions. Data are analysed using hierarchical cluster analysis and ordered probit regressions.

Respondents who strongly agree with the individualizing moral foundation statements are more likely to buy more environmentally sustainable milk/yogurt and pork from pigs that are raised with reduced antibiotic use, as compared to respondents who have weaker agreement with the statements. Respondents with stronger agreement with the moral foundation statements are also more likely to vote in favour of stricter livestock environmental standards and disease protocols.

Monitoring people’s moral concerns might help in predicting consumers’ responses to new or different production practices.

Although moral foundations have been linked to other purchase decisions, in this study, the focus is on specific aspects of environmental sustainability and antibiotic use in livestock production. Both of these challenging issues are controversial and facing either regulatory changes (antibiotic use in livestock) or significant livestock production changes (responding to concerns that livestock production is less sustainable than plant production) in most developed countries. Understanding the linkages between fundamental beliefs and probable consumer behaviour will assist in predicting negative or positive outcomes to the regulatory or industry-based changes to livestock production. Differences between an individual’s desire to be able to identify products with certain attributes for purchase vs an individual’s desire to have government regulate industries to higher standards, in both contexts, will also be linked to the individual’s level of moral foundation beliefs.

This study examined consumer preference and willingness to pay a premium price for indigenous chicken products in Ghana.

Data were obtained from 240 consumers in Ghana through the administration of a structured questionnaire. Probit regression was used to examine the factors influencing consumer preference for indigenous chicken products in Ghana. Ordered probit regression was employed to examine the factors influencing the percentage premium price a consumer is willing to pay for indigenous chicken products whereas the cluster analysis was used to segment the consumers.

Different sets of factors were identified to have influenced the decision to purchase indigenous chicken products and the willingness to pay for a premium price. In total, four market segments were identified in this study: shopper consumer segment, the conventional or ethnocentric consumer segment, the privilege consumer segment and the pleasure-seeker consumer segment.

The important factors to learn from this study are the following: examining the critical success factors for the promotion of indigenous chicken products in Ghana is an excellent opportunity for future research. Second, the choice of locally-produced exotic breeds/strains of chicken meat has not been examined in this study. Therefore, a comparative study of consumer preference of the locally-produced exotic breeds/strains of chicken in Ghana is another great opportunity for further research.

Regardless of the seemly opportunities in regional marketing, Ghana has not leveraged on this to promote a regional marketing brand for its local products – like indigenous chicken products – over imported chicken products. Besides, regionalism studies on agricultural products have received less attention in Ghana; therefore, this study contributes to a better understanding of consumer choice of indigenous chicken products, potentially, and the marketing of regional food products in Ghana.

This study aims to present an empirical model designed to forecast bank credit ratings using only quantitative and publicly available information from their financial statements. For this reason, the authors use the long-term ratings provided by Fitch in 2012. The sample consists of 92 US banks and publicly available information in annual frequency from their financial statements from 2008 to 2011.

First, in the effort to select the most informative regressors from a long list of financial variables and ratios, the authors use stepwise least squares and select several alternative sets of variables. Then, these sets of variables are used in an ordered probit regression setting to forecast the long-term credit ratings.

Under this scheme, the forecasting accuracy of the best model reaches 83.70 percent when nine explanatory variables are used.

The results indicate that bank credit ratings largely rely on historical data making them respond sluggishly and after any financial problems are already known to the public.