Search results

The purpose of this paper is to investigate the determinants of the timing of bank failure in North Cyprus over the period of 1984‐2002 using a discrete‐time logistic survival analysis.

The empirical methodology employed in the paper allows for the determination of the factors that influence the time to bank failure. The model links the time of bank failure to a set of bank‐specific factors and macro‐environment that may have exacerbated the internal troubles of the financial institutions.

An empirical examination of the results on survival analysis reveal that the three variables, namely: low asset quality (total loan as a percentage of total assets), low liquidity (total liquid asset as a percentage of total assets), and high credit extended to the private sector (ratio of the private credit to gross domestic product) are the main factors that explain the survival time of banks in North Cyprus.

For further research this paper may better distinguish time to bank failure if it extends the time period and if it uses exchange pressure from Turkey that may have a direct effect on bank failure in North Cyprus.

Nowadays bank failure is an important problem in the world. Using time technique to investigate bank failure will help to learn the factors that determine time to bank failure, which will further help to take precautions and prevent the cost of bank failure.

The analysis would appear to be the first to provide evidence and investigate the time to bank failure in the North Cyprus banking sector.

The purpose of this paper is to identify the sociodemographic factors that affect Turkish consumers’ decision to purchase organic milk. It is also of interest to derive the demand curve for organic milk based on the consumers’ stated preferences.

The data used in this search are based on a face-to-face consumer survey that asked the respondents about how much they are willing to pay for organic milk and what factors affect their purchasing decision. A variant approach is applied where the determinants selected include both product/market characteristics and household-specific demographic factors. The data are analyzed by means of tabular analysis, summary tables, contingent valuation, stepwise regression, χ² tests and logistic discrete-choice modeling.

The tabular analysis suggests that price, packaging and brand image are the primary milk characteristics that affect consumers’ decision. According to the contingent valuation analysis, consumers are willing to pay substantial premiums for milk products. The stepwise regression, χ² tests and logistic regression results unanimously suggest that educational attainment is the only significant indicator. Households with university education are twice more likely to purchase organic milk.

The data used in this research are based on stated preferences which might be different than actual shopping behavior.

This paper presents a pioneer study on the characteristics of Turkish organic milk consumers and represents a credible, empirical case study to complement existing literature. It also lays the framework for follow-up research work that can be conducted in future.

This study aims to investigate how various aspects of intraorganizational career advancement – current career attainments, recent pace of upward mobility, and future prospect of career advancement – affect voluntary turnover, drawing empirical evidence from a multinational corporation (MNC) in Taiwan's cultural and labor market environment.

The empirical study was based on statistical analyses of personnel records of 303 employees in a multinational bank in Taiwan. A discrete‐time logistic model was used to analyse voluntary turnover events.

Results showed that salary increase and job status generally reduced voluntary turnover. A ceiling position on the job ladder induced turnover and also moderated the relationship between corporate title duration and turnover and that between age and turnover.

Because the empirical evidence was based on data collected from one MNC in Taiwan's distinct research context, this may limit the generalizability of some findings in the study.

Whereas much of the literature on turnover has focused on psychological models, this study adopts an objective career perspective and highlights the significance of intraorganizational career advancement in affecting voluntary turnover. It also deepens one's understanding of career development and choices in a Chinese cultural environment.

The purpose of this paper is to report a survey in random-selected supermarkets in Italy in order to identify the attitudes and perceptions of consumers toward milk and in particular toward donkey milk.

The analysis was conducted through Google Forms platform of docs.google interviews with a sample of 705 consumers who were given a questionnaire to collect information about their economic status and their attitudes toward milk and special milk consumption.

The results were analyzed in order to identify the socio-economic and behavioral characteristics of homogeneous groups of consumers. They consume milk mainly because it is not expensive and it is possible to easily buy it in the supermarket. They consume special milk mainly because of food allergies or intolerances. They would like to buy special milk at large-scale retail trade outlets; they underline difficulties in finding and purchasing it. They think that the price of special milk is very high.

The results showed that those who occasionally consume special milk choose it because it is more nourishing or for health reasons; there is also a significant association between the judgment on prices of special milk and the frequency of purchase. The estimation of a generalized linear model allowed to highlight that only age and the presence of health problems/intolerances are significant predictors of special milk consumption.

Even though innovation is widely understood as a critical success factor, little is still known about the top management ability to steer small firms’ innovativeness. In an attempt to fill such gap, the purpose of this paper is to investigate the relationship between strategic orientation and propensity to innovate of a representative sample of Italian small-sized organizations.

Secondary data collected from the Community Innovation Survey performed in Italy by the Italian Institute of Statistics were investigated. Data concerned a representative sample of 5.833 units of analysis. Ad hoc logistic regression models were designed to illuminate the relationship between small firms’ propensity to innovate and their strategic orientation.

The outputs of logistic regression models suggested that strategic aims, strategic goals and awareness of environmental threats influenced the propensity of small firms to innovate. On the one hand, the desire to expand the current market share and to open new markets aroused product innovation; on the other hand, the need to increase organizational flexibility boosted process innovation.

This study relied on secondary data; therefore, it was not possible to tailor the process of data collection to the specific purposes of this research. Besides, findings are not generalizable at either the European or worldwide level.

This is one of the first attempts to exploit the potential of multiple logistic regression models to shed light on the relationship between small firms’ strategic orientation and their propensity to innovate.

The purpose of this paper is to assess the capacity of two methodological approaches – discrete choice and survival analysis models – to investigate the relationship between socio-economic characteristics and turnover in a retailing company. A comparison of the estimation results under each model and their interpretation is carried out. The study provides a guide to determine, assess and interpret the effects of different driving factors behind turnover.

The authors use a data set containing information about 1,199 workers followed up between January 2007 and December 2009. First, not distinguishing voluntary and involuntary resignation, a binary logistic regression model and a Cox proportional hazards (PH) model for univariate survival data are set up and estimated. Second, distinguishing voluntary and involuntary resignation, a multinomial logistic regression model and a Cox PH model for competing risk data are set up and estimated.

When no distinction is made, the results point that wage and age exert a negative effect on turnover. Risk of resignation is higher for male, single, not married and Spanish nationals. When the distinction is made, previous results hold for voluntary turnover: wage, age, gender, marital status and nationality are significant. However, when explaining involuntary turnover, all variables except wage lose explaining power. The survival analysis approach is better suited as it measures risk of resignation in a longitudinal way. Discrete choice models only study the risk at a particular cut-off point (24 months in case of this study).

This paper is a systematic application, evaluation and comparison of four different statistical models for analysing employee turnover in a single firm. This work is original because no systematic comparison has been done in the context of turnover.

Presents a model that hypothesizes relationships between logistical complexity and both the importance of JIT manufacturing and the most appropriate organization structure for implementing JIT manufacturing. Logistical complexity can be defined in terms of the number of manufacturing steps or the number of different part numbers handled in a factory. Hypothesizes that the greater a factory′s logistical complexity, the greater the importance of JIT manufacturing and the greater the interdependences between different manufacturing steps and people and thus the greater the need for co‐ordinating mechanisms.

The purpose of this paper is to present a simulation‐based evaluation method for the comparison of different organizational forms and software support levels in the field of supply chain management (SCM).

Apart from widely known logistic performance indicators, the discrete event simulation model considers explicitly coordination cost as stemming from iterative administration procedures.

The method is applied to an exemplary supply chain configuration considering various parameter settings. Curiously, additional coordination cost does not always result in improved logistic performance. Influence factor variations lead to different organizational recommendations. The results confirm the high importance of (up to now) disregarded dimensions when evaluating SCM concepts and IT tools.

The model is based on simplified product and network structures. Future research shall include more complex, real world configurations.

The developed method is designed for the identification of improvement potential when SCM software is employed. Coordination schemes based only on ERP systems are valid alternatives in industrial practice because significant investment IT can be avoided. Therefore, the evaluation of these coordination procedures, in particular the cost due to iterations, is of high managerial interest and the method provides a comprehensive tool for strategic IT decision making.

Reviewed literature is mostly focused on the benefits of SCM software implementations. However, ERP system based supply chain coordination is still widespread industrial practice but associated coordination cost has not been addressed by researchers.

The purpose of this paper is examine whether agency conflicts between controlling and minority shareholders affect firms' decisions to purchase non‐audit services (NAS). The author examines whether client firms engage separate firms for audit and non‐audit functions, especially if the expected agency costs are high.

The sample consists of 772 firm‐year observations from Sweden where the ownership patterns are highly concentrated. The hypotheses are tested using multivariate regression analyses.

Empirical findings reveal that higher levels of agency cost proxies are significantly negatively related to both absolute and relative non‐audit fees but, at the same time, are significantly positively related to the level of outside consulting services purchased from non‐incumbent auditors. Together, these findings support the view that client firms are protecting the appearance of their auditor's independence.

One cannot rule out the possibility that there are some unspecified factors unrelated to auditor independence issues that affect both client firms' purchases of NAS and the level of outside consulting services purchased from non‐incumbent auditors.

The research findings have implications for the functioning of the audit and NAS markets. The increasing pressure on companies to improve the perception of their auditor independence by engaging separate auditors and consultants further limits the auditor choice decision.

This is the first paper that investigates whether agency conflicts between majority and minority shareholders affect firms' decisions to purchase NAS. This is also the first paper to examine determinants of purchases of NAS from non‐incumbent audit firms.

Maintaining a high level of availability of weapon systems during battles becomes important from the point of view of winning the battle. Due to attrition factors (failure due to battle damage and unreliability) and logistic delays in the repair process, maintaining the required level of availability is difficult. In this paper, we develop a simulation model for availability of fighter aircraft considering multiple failures causing system failure and logistic delays in the repair process. The methodology is based on discrete event simulation using Monte Carlo techniques. The failure time distribution (Weibull) and the repair time distribution (exponential) for the considered subsystems of the aircraft and the logistic delay time distribution (log‐normal) for the logistic factors spares, crew and equipment were chosen with suitable parameters. The results indicate the pronounced decrease in availability (as low as less than 10 per cent in some cases) due to multiple failures and logistic delays. The results are, however, highly sensitive to a combination of reliability, maintainability and logistic delay parameters.