bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measuring consumers’ perceptions of business ethicality on price, product, and service domains
Authors: Tsalikis John , Van Solt Michelle , Seaton Bruce 
Published: September 2019

Purpose
The purpose of this paper is to examine consumer perceptions across various countries, and uses content analysis in order to compare individual countries’ perceptions of ethicality over three business domains: price, product and service.

Design/methodology/approach
The data encompasses measurements from 18 countries including the USA and countries in Eastern and Western Europe, Latin America, Asia and the Middle East Hofstede’s cultural dimensions and the gross national income purchasing power parity were explored to explain the differences in focus between countries.

Findings
The results indicate that Mexico and Argentina place a higher focus on price, while Russia, China and India place a greater focus on the product element. In terms of ethical perceptions of service, only Brazil places high focus on this domain. The results indicated that uncertainty avoidance was significant for five of the six countries focusing on price, suggesting that price provides a level of certainty and therefore less ambiguity.

Originality/value
The importance of this study is based on the idea that consumer trust is vital to the efficient running of economic activity.
Influential safety technology adoption predictors in construction
Authors: Nnaji Chukwuma , Gambatese John , Karakhan Ali , Eseonu Chinweike 
Published: September 2019

Purpose
Existing literature suggests that construction worker safety could be optimized using emerging technologies. However, the application of safety technologies in the construction industry is limited. One reason for the constrained adoption of safety technologies is the lack of empirical information for mitigating the risk of a failed adoption. The purpose of this paper is to fill the research gap through identifying key factors that predict successful adoption of safety technologies.

Design/methodology/approach
In total, 26 key technology adoption predictors were identified and classified using a combination of literature review and an expert panel. The level of influence for each identified safety technology adoption predictor was assessed and ranked using the Relative Importance Index. Analysis of variance was performed as well to assess the potential difference in perceived level of importance for the predictors when the study participants were clustered according to work experience and company size.

Findings
Statistical analysis indicates that 12 out of the 26 predictors identified are highly influential regarding technology adoption decision-making in construction. Technology reliability, effectiveness and durability were ranked as the most influential predictors. The participants who work for small companies and who had less than ten years of experience rated individual- and technology-related predictors significantly lower than the experienced participants working for medium and large companies.

Practical implications
The present study provides construction researchers and practitioners with valuable information regarding safety technology predictors and their magnitude, both of which are essential elements of a successful safety technology adoption process. Improved technology adoption can enhance workplace safety and minimize worker injuries, providing substantial benefits to the construction industry.

Originality/value
This study contributes to technology adoption knowledge by identifying and quantifying the influential predictors of safety technologies in relation to different organizational contexts. The study informs the need to develop an integrated conceptual model for safety technology adoption.
Pervasive sensing technologies for facility management: a critical review
Authors: Xu Jinying , Chen Ke , Zetkulic Anna Elizabeth , Xue Fan , Lu Weisheng , Niu Yuhan 
Published: September 2019

PurposeThe practice of facility management (FM) has been evolving with the rapid development of pervasive sensing technologies (PSTs) such as sensors, automatic identification (auto-ID), laser scanning and photogrammetry. Despite the proliferation of research on the use of PSTs for FM, a comprehensive review of such research is missing from the literature. This study aims to cover the knowledge void by examining the status quo and challenges of the selected PSTs with a focus on FM.Design/methodology/approachThis paper reviewed 204 journal papers recounting cases of using PSTs for FM. The reviewed papers were extracted from Elsevier Scopus database using the advanced search.FindingsFindings of this study revealed that PSTs and FM applications form a many-to-many mapping, i.e. one PST could facilitate many FM applications, and one application can also be supported by various PSTs. It is also found that energy modeling and management is the most referred purpose in FM to adopt PSTs, while space management, albeit important, received the least attention. Five challenges are identified, which include high investment on PSTs, data storage problem, absence of proper data exchange protocols for data interoperability, a lack of mature data processing methods for data utilization and privacy of users.Originality/valueThis paper paints a full picture of PSTs adoption for FM. It pinpoints the promising explorations for tackling the key challenges to future development.
Modified condition decision coverage criteria for test suite prioritization using particle swarm optimization
Authors: Nayak Gayatri , Ray Mitrabinda 
Published: September 2019

Purpose
Test suite prioritization technique is the process of modifying the order in which tests run to meet certain objectives. Early fault detection and maximum coverage of source code are the main objectives of testing. There are several test suite prioritization approaches that have been proposed at the maintenance phase of software development life cycle. A few works are done on prioritizing test suites that satisfy modified condition decision coverage (MC/DC) criteria which are derived for safety-critical systems. The authors know that it is mandatory to do MC/DC testing for Level A type software according to RTCA/DO178C standards. The paper aims to discuss this issue.

Design/methodology/approach
This paper provides a novel method to prioritize the test suites for a system that includes MC/DC criteria along with other important criteria that ensure adequate testing.

Findings
In this approach, the authors generate test suites from the input Java program using concolic testing. These test suites are utilized to measure MC/DC% by using the coverage calculator algorithm. Now, use MC/DC% and the execution time of these test suites in the basic particle swarm optimization technique with a modified objective function to prioritize the generated test suites.

Originality/value
The proposed approach maximizes MC/DC% and minimizes the execution time of the test suites. The effectiveness of this approach is validated by experiments on 20 moderate-sized Java programs using average percentage of fault detected metric.
Sitting at ease: British military graffiti in an operational camp in the 1970s
Authors: Kirke Charles 
Published: September 2019

Purpose
This paper aims to describe, analyze and explain British military graffiti (“latrinalia”) in ablutions blocks in two operational camps in the 1970s. This material was chosen for two reasons: first, it allowed the researcher to approach what the soldiers were thinking about and sharing in an unofficial context; second, such material is not represented in the scholarly literature on the British army. The aim of the research was, therefore, to explore a regularly occurring but under-researched field of British army organizational culture.

Design/methodology/approach
Latrinalia from one operational base was recorded and analyzed by quantity and type into a typology that emerged from the data. From this analysis, areas in which the graffiti authors were preoccupied were deduced. These graffiti were compared with similar material recorded from a different unit (with no personnel in common with the first) in the same context, two years later.

Findings
There was extensive common ground between the two sets of graffiti, particularly in the areas of identity, attitudes to the campaign, and opinions held about officers. Differences in the sets of results were explained by reference to factors external to the military campaign.

Research limitations/implications
In view of the paucity of other research with which to compare, confirm or refute the findings of this study, further research on British military graffiti is needed.

Practical implications
It is clear that ablution graffiti/latrinalia in military units on operations provide insights into a unit’s organizational culture and matters of current concern to the soldiers. Such graffiti may, therefore, be considered as a useful ethnographic source.

Social implications
There are implications for the better understanding of soldiers’ concerns on operations.

Originality/value
The paper approaches a hitherto unexplored aspect of the lived experience of British soldiers on operations.
In the family way: an exploration of family business resilience
Authors: Beech Nick , Devins David , Gold Jeff , Beech Susan 
Published: September 2019

Purpose
This paper aims to explore the concept of resilience set within a family business context and considers how familiness and the nature of noneconomic factors, such as relationship dynamics influence performance. This paper provides new insights into the nature and impact of familiness as a mediating device, uncovering the potential for reframing resilience theory and practice.

Design/methodology/approach
The paper draws on a review of the extant literature in the areas of resilience and familiness as a means of developing a deeper understanding of the social-ecological system of the family firm.

Findings
The study reveals family business as a complex interrelationship between complimentary social-ecological systems. It highlights the complexity of family business and the challenges of the relational nature of familiness and how this presents additional layers of complexity in the decision making process and implementation.

Research limitations/implications
The paper draws on literature that is dominated by western culture and may partially or not at all reflect the issues associated with organisational resilience in family firms with such backgrounds and their culturally bound social-ecological systems.

Originality/value
The paper seeks to fill a knowledge gap by exploring the key elements of organisational resilience in the context of familiness. The work calls for further research into the nature of familiness connections mediating the nature of family relational dynamics. It further provides a framework indicating how these elements can shape and subvert day-to-day management events, raising implications for theory and practice and calls for deeper empirical research to be undertaken.
Hydrodynamic effect of non-closed elliptical grooves of bi-directional rotation gas face seals
Authors: Xie Jing , Bai Shaoxian , Ma Chunhong 
Published: September 2019

Purpose
The purpose of this paper is to improve opening performance of bi-directional rotation gas face seals by investigating the hydrodynamic effect of non-closed elliptical grooves.

Design/methodology/approach
A model of non-closed elliptical groove bi-directional rotation gas face seal is developed. The distribution of lubricating film pressure is obtained by solving gas Reynolds equations with the finite difference method. The program iterates repeatedly until the convergence criterion on the opening force is satisfied, and the sealing performance is finally obtained.

Findings
Non-closed elliptical groove presents much stronger hydrodynamic effect than the closed groove because of drop of the gas resistance flowing into grooves. Besides, the non-closed elliptical groove presents significant hydrodynamic effect under bi-directional rotation conditions, and an increase of over 40 per cent is obtained for the opening force at seal pressure 4.5 MPa, as same level as the unidirectional spiral groove gas seal. In the case of bi-directional rotation, the value of the inclination angle is recommended to set as 90° presenting a structure symmetry so as to keep best opening performance for both positive and reverse rotation.

Originality/value
A model of non-closed elliptical groove bi-directional rotation gas face seal is established. The hydrodynamic mechanism of this gas seal is illustrated. Parametric investigation of inclination angle and integrity rate is presented for the non-closed elliptical groove bi-directional rotation gas face seal.
Provision and usage of open government data: strategic transformation paths
Authors: Ham Juyeon , Koo Yunmo , Lee Jae-Nam 
Published: September 2019

Purpose
To create the expected value and benefits through open data, appropriate provision and usage of data are required simultaneously. However, the level of provision and usage of open data differs from country to country. Moreover, previous research on open data has only focused on either open data provision or usage. To fill the research gap, the purpose of this paper is threefold: first, to understand the current status of the provision and usage of open data; second, to identify patterns in the provision and usage of open data; and third, to provide appropriate future directions and guidelines for the transformation paths of each pattern.

Design/methodology/approach
The authors analyzed the data collected from open data portals of 13 countries that provide information on the provision and usage of open data together.

Findings
The authors identified four patterns of the provision and usage of open data, namely, availability-driven, government-driven, market-driven and interaction-driven patterns. Furthermore, three strategic paths of transformation reach a high level of open data provision and usage, namely, data provision-focused, data usage-focused and balanced transformation paths.

Originality/value
This study provides a foundation that enables researchers to build a holistic theory that can integrate fragmented and incomplete knowledge of open data and usage, particularly in the context of government.
Impact of contract farming on product quality upgrading: the case of rice in Togo
Authors: Adabe Kokou E. , Abbey Abbevi G. , Egyir Irene S. , Kuwornu John K.M. , Anim-Somuah Henry 
Published: September 2019

PurposeDue to rapid urbanization, rice consumption in Togo has also rapidly increased. Most consumers prefer imported rice over domestically produced rice due to the higher quality of the imported rice. The purpose of this paper is to show that it is possible to upgrade the quality of Togo’s domestically produced rice by providing technical and management support in the form of contract farming.Design/methodology/approachCross-sectional data were collected using a multi-stage sampling technique. An endogenous switching regression model was used for data analysis.FindingsThe results show that by participating in contract farming, paddy rice quality was upgraded from Grade IV (poor quality) to Grade I (premium quality). The factors influencing this upgrade in the quality of paddy rice grown through contract farming are: the number of extension visits to the farmer, the mode of threshing used by the farmer, and the agro-ecological zone of the farmer.Research limitations/implicationsThe data for this study are limited to one country, Togo and this may have implications for generalizing the results for other countries.Originality/valueThis study is original research that contributes to an improved understanding of the impacts of contract farming on the quality of agricultural products produced in developing and emerging economies.
Do factors influencing consumer home-buying attitudes explain output growth?
Authors: Baghestani Hamid , Viriyavipart Ajalavat 
Published: September 2019

PurposeThe purpose of this paper is to focus on the relationship between attitudinal data from the long-running Michigan Surveys of Consumers and US real GDP growth. One survey question asks, “Generally speaking, do you think now is a good time or a bad time to buy a house?” with the follow-up question “Why do you say so?” There are several factors for consumers to choose as reasons. Given the strong link between US housing market activity and business cycles, the authors ask whether the responses to the follow-up question explain the behavior of output growth.Design/methodology/approachThe authors employ an augmented autoregressive model to investigate the relationship between output growth and the responses to the follow-up question for 1986–2007 and for 1986–2018, which includes the 2008 financial crisis. The authors follow the general-to-specific approach to obtain the final model estimates for interpretation. For a deeper analysis, the authors estimate the model using the responses of survey participants in the bottom 33 percent, middle 33 percent and upper 33 percent income categories, separately. While avoiding aggregation bias, this approach helps reveal important information embodied in the cross-sectional distribution of the data.FindingsThe follow-up question focuses on such factors as home prices, mortgage rates, houses as a good/bad investment, timing, uncertain future and affordability. The authors find that the majority of these factors chosen as reasons by consumers in the middle and upper 33 percent income categories explain the behavior of output growth. Among the factors chosen as reasons by consumers in the bottom 33 percent income category, only the mortgage rate and uncertain future explain output growth.Originality/valueThis study provides new insights into the usefulness of detailed consumer survey data in explaining the behavior of output growth and further underlines the usefulness of such measures across different income categories for revealing important information contained in the cross-sectional distribution of the data.
Modeling effects of banking regulations and supervisory practices on capital adequacy state transition in developing countries
Authors: Jamali Ali 
Published: September 2019

Purpose
The FDIC Improvement Act of 1991 sets out five categories of capital and mandates corrective action for banks. Each bank based on its capital amount fall in the certain categories or states. The purpose of this paper is to consider the effect of banking regulations and supervisory practices on capital state transition.

Design/methodology/approach
First, the authors investigate how much the practices influence banks' capital adequacy using a dynamic panel data method, the generalized method of moments. Then, to scrutinize the results of the first phase, the authors estimate the effect of practices on some characteristics of capital state transition such as transition intensity, transition probability and state sojourn time using multi-state models for panel data in 107 developing countries over the period 2000 to 2012.

Findings
The dynamic regression results show that capital guidelines, supervisory power and supervisory structure can have significantly positive effects on the capital adequacy state. Moreover, the multi-state Markov panel data model estimation results show that the significantly positive-effect practices can change the capital state transition intensity considerably; for example, they can transmit the critical-under-capitalized (the lowest) capital state of banks directly to a well or the adequate-capitalized (the highest) capital state without passing through middle states (under-capitalized and significantly-undercapitalized). Moreover, the results present some new evidence on transition probability and state sojourn time.

Originality/value
The main contribution of this paper, unlike the existing literature, is to consider the power of banking regulations and supervisory practices to improve the capital state using a multi-state Markov panel data model.
A multi-dimensional meta-heuristic model for managing organizational change
Authors: Arazmjoo Hanieh , Rahmanseresht Hossein 
Published: September 2019

PurposeThe purpose of this paper is to offer a dynamic meta-heuristic model of effecting organizational change which informs smooth directing and routinizing change according to the specific situation relevant to every change attempt.Design/methodology/approachBecause of the dynamic nature of variables and their interaction, developing a static model cannot be tenable. This study, therefore, attempts to generate a meta-heuristic method for constructing a dynamic organizational change model by combining qualitative methods (content analysis and Delphi Technique) and Artificial Neural Networks (Fuzzy Theory and Genetic Algorithm).FindingsEach change program requires its unique method of implementation as change attempts are context specific. Hence, static models should give way to some dynamic ones. Whereas such static models abound, this paper stands out as offering a dynamic model for organizational change by using a rather unconventional method.Research limitations/implicationsThis can be regarded as a road map informing higher echelons of the complexity and leadership of change, while at the same time helping change agents have access to acceptable amount of variables that can make their change attempts more promising.Originality/valueThis model contains more flexible variables which reflect the incumbent organizations’ situations. While almost all previous models of change attempt take into account a few/handful variables which are seen to impact on change solidly and independently. But such an analysis with the usual statistical and mathematical methods is not justified. This challenge is met here using metaheuristics and artificial intelligence methods. The model formulated, thus, is dynamic, non-linear and multi-dimensional. Entering the data related to any specific field turns it to a customized model suitable for use in a given field; and this is not only a contribution to the theory but also can allegedly increase the chance of the success of the change agent managing to utilize the optimal amount of variables suggested in this paper.