Effective local government council leadership: reassessing the facilitative model of leadership

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Michael K. Dzordzormenyoh
Keyword(s):  
Local Government ◽  
Binary Logistic Regression ◽  
Board Effectiveness ◽  
Facilitative Leadership ◽  
Data Set ◽  
Content Type ◽  
Public Issues ◽  
Cooperative Relationships ◽  
Clarity Of Responsibility ◽  
Cooperative Relationship

PurposeThis paper utilizes Svara's facilitative leadership model to examine local government council/board effectiveness in Michigan, United States.Design/methodology/approachThis study performs a binary logistic regression to assess the influence of four independent variables–consensus building, cooperative relationship, clarity of responsibility and existence of factions/partisanship on five measures of council/board effectiveness (long-term goal setting, administrative, financial, addressing citizen expectations and overall performance), while controlling for other variables.FindingsOverall, the findings of this study have serious theoretical and practical implications. Specifically, the findings revealed that cooperative relationships, clarity of responsibility, discussion of public issues and partnership influence council/board effectiveness. The findings further support Svara's (2003) model on facilitative leadership and the model's usefulness in understanding local government leadership, i.e. council/board leadership effectiveness.Research limitations/implicationsFirst, survey data contains desirability bias which can affect the results presented in this study. Second, the data does not include socio-demographic variables of the respondents.Originality/valueThe study is original because it utilizes a data set that is not commonly used in understanding local government council/board effectiveness. Furthermore, the study also shows the usefulness of Svara's facilitative leadership in local government.

Financial distress determinants among SMEs: empirical evidence from Sweden

2020 ◽  
Vol 47 (3) ◽  
pp. 547-560 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Financial Crisis ◽  
Financial Distress ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Binary Logistic Regression ◽  
Data Availability ◽  
Cross Sectional ◽  
Data Set ◽  
Content Type ◽  
The Global Financial Crisis

PurposeThe purpose of this study is to empirically investigate determinants of financial distress among small and medium-sized enterprises (SMEs) during the global financial crisis and post-crisis periods.Design/methodology/approachSeveral statistical methods, including multiple binary logistic regression, were used to analyse a longitudinal cross-sectional panel data set of 3,865 Swedish SMEs operating in five industries over the 2008–2015 period.FindingsThe results suggest that financial distress is influenced by macroeconomic conditions (i.e. the global financial crisis) and, in particular, by various firm-specific characteristics (i.e. performance, financial leverage and financial distress in previous year). However, firm size and industry affiliation have no significant relationship with financial distress.Research limitationsDue to data availability, this study is limited to a sample of Swedish SMEs in five industries covering eight years. Further research could examine the generalizability of these findings by investigating other firms operating in other industries and other countries.Originality/valueThis study is the first to examine determinants of financial distress among SMEs operating in Sweden using data from a large-scale longitudinal cross-sectional database.

Resource-based view of innovation activity in SMEs: an empirical analysis based on the global competitiveness project

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lívia Lukovszki ◽  
András Rideg ◽  
Norbert Sipos
Keyword(s):  
Logistic Regression ◽  
Literature Review ◽  
Empirical Analysis ◽  
Binary Logistic Regression ◽  
Point Of View ◽  
Innovation Activity ◽  
Data Set ◽  
Content Type ◽  
Resources And Capabilities ◽  
The Impact

Purpose The purpose of this study is to identify the corporate functions that contribute most to the innovation success of SMEs with limited resources. After a systematic literature review, the authors used a unique primary data set of 784 SMEs from eight countries. Descriptive statistics and binary logistic regression were used to show the data set peculiarities. The logistic regression targeted the presence of innovative products and services in sales by 11 dummy variables and 4 principal factors describing SMEs’ different resources and capabilities. Design/methodology/approach The authors developed a resource-based product innovation model that is synthesising the impact of the company resources and capabilities and of the innovation activity of the company on the actual innovation performance. The authors carry out an empirical analysis of the characteristic features of innovation activity in an international sample of SMEs. Findings The results show that two corporate functions play a crucial role in the effectiveness of innovation for SMEs as follows: management and research and development (R&D). In addition, although of lesser importance, the effect of the marketing function also appears significant. The binary logistic regression had 84.2% of explanatory power. Originality/value From a scientific point of view, the SME-focussed, complex and synthesising RBV model of innovation construction and literature review can be used as a reference point for future researches. From a practical point of view, the analysis is useful for those SMEs, which want to gain a competitive advantage through innovation. Indeed, the results show that in the case of SMEs, a company wishing to innovate must invest in three corporate functions for innovation to be effective as follows: management, R&D and marketing.

Maternal incarceration penalty: an examination of the effect of maternal conviction and incarceration on childhood delinquency

2017 ◽  
Vol 7 (1) ◽  
pp. 29-46 ◽  
Author(s):  
Kristen N. Sobba ◽  
Brenda Prochaska ◽  
Emily Berthelot
Keyword(s):  
Criminal Behavior ◽  
Delinquent Behavior ◽  
Binary Logistic Regression ◽  
Self Control ◽  
Theoretical Frameworks ◽  
Data Set ◽  
Content Type ◽  
Low Self Control ◽  
Property Destruction ◽  
The Impact

Purpose Several studies have reported the impact of paternal incarceration and criminal behavior on childhood delinquency; however, fewer studies have addressed the influence of maternal criminality on children’s behavioral outcomes. Integrating self-control and attachment theoretical frameworks, the purpose of this paper is to address the impact of mothers who have been stopped, arrested, convicted, and incarcerated in relation to their children’s delinquent behavior. Design/methodology/approach The Fragile Families and Child Wellbeing data set was used to better understand this relationship. By using binary logistic regression, two types of delinquent behavior were assessed: destroying property and fighting. Findings The results revealed that mothers’ criminal behavior affected children’s fighting tendencies but did not significantly impact children’s tendency to destroy property. Furthermore, certain childhood antisocial traits and demographic characteristics revealed to also impact children’s delinquent behavior. From the results, implications and prevention strategies were drawn describing techniques to combat delinquency. Originality/value This research lays a foundation for future researchers to explore mother-child attachment and the transmission of low self-control from mother to child in relation to criminality. The current research is one of the first studies to specifically address how maternal criminal behavior affects their children’s tendency to engage in delinquency, specifically examining property destruction and fighting.

Board processes revisited: an exploration of the relationship between board processes, board role performance and board effectiveness in comparable European listed companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Peter AM Jansen
Keyword(s):  
Listed Companies ◽  
Survey Method ◽  
Role Performance ◽  
Board Effectiveness ◽  
Data Set ◽  
Content Type ◽  
Board Processes ◽  
Board Decision Making ◽  
Small Team ◽  
The Relationship

Purpose This study aims to analyse the relationships between board processes, board role performance and board effectiveness for a cross-country (UK and Romania) sample of comparable European listed companies. Design/methodology/approach The research design is quantitative in nature and based on the survey method, a self-administered questionnaire which was send to 342 chairmen of selected Romanian and British listed companies and which contains validated statements measured through a seven-point Likert-type scale and grouped in validated constructs. Findings This study found further empirical evidence that board processes are stronger determinants of board effectiveness than board characteristics and that board roles mediate the relationship between board processes and board effectiveness. It further confirmed the relevance of the three board processes mentioned by Forbes and Milliken (1999) in their seminal work on board decision-making. Research limitations/implications The main limitation of this study is the relatively small number of responses (55), which indicates a reduced reliability and generalizability of the results. However, several steps were taken to assure the homogeneity of the sample, starting with a unique data set of firms of comparable size and industry representation. Practical implications This study is useful to board directors and chairmen of listed companies, as it can help them to better understand and manage board behaviour. Originality/value This study contributes to the limited body of research that investigates specific board process constructs derived from the small team literature and their effect on board effectiveness.

Does remittance protect the household from catastrophic health expenditure in India

2020 ◽  
Vol 16 (4) ◽  
pp. 481-493
Author(s):  
Milan Das ◽  
Kaushalendra Kumar ◽  
Junaid Khan
Keyword(s):  
Health Expenditure ◽  
Health Care Expenditure ◽  
Health Spending ◽  
Binary Logistic Regression ◽  
Catastrophic Health Expenditure ◽  
Economic Research ◽  
National Council ◽  
Data Set ◽  
Content Type ◽  
Catastrophic Health Spending

Purpose The purpose of this paper is to examine the dynamic nature of the catastrophic health expenditure (CHE) on remittances receiving households between 2005 and 2012 in India. Design/methodology/approach The study adopted Xu’s (2005) definition of catastrophic health-care expenditure. And also used binary logistic regression to examine the effects of remittances being received on CHE in households across India. The data were drawn from the two rounds of the India Human Development Survey conducted by the University of Maryland, the USA, and the National Council of Applied Economic Research, New Delhi, India. Findings The results show that the percentage of households received remittances, and that the amount of remittances received has substantially increased during 2005 and 2012, though variation is evident by socioeconomic and demographic characteristics of the household. Apparently, the variation (percentage of households received remittances) is more pronounced for factors such as household size, number of 60+ elderly, sectors and by regions. Household’s catastrophic health spending and remittances being received show a statistically significant association. Households which received remittances during both the time showed the lowest likelihood (AOR:0.82; p-value < 0.10; 95% CI:0.64–1.03) to experience catastrophic health spending. Originality/value The paper identified the research gap to examine the occurrence of catastrophic health spending by remittances receiving status of the household using a novel panel data set.

scholarly journals Determinants of Overall Public Trust in Local Government: Meditation of Government Response to COVID-19 in Indonesian Context

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dadang Hartanto ◽  
Siti Masliana Siregar
Keyword(s):  
Local Government ◽  
Local Governments ◽  
Good Governance ◽  
Public Trust ◽  
Partial Least Square ◽  
The Body ◽  
Data Set ◽  
Content Type ◽  
Government Response ◽  
The Government

Purpose This study aims to empirically investigate the relationship of perceived transparency, perceived accountability and perceived responsiveness with overall public trust in local government. Moreover, it addressed the “why” and “how” questions about the existence of this relationship by examining the underlying mechanism of the government response to COVID-19. Design/methodology/approach Quantitative research design is applied in the current study. Data was collected from two cities situated in Indonesia via a cross-sectional survey at local administration levels. The final data set of 330 respondents was then analyzed using Smart partial least square (PLS)3 by testing through the measurement and structural model. Findings Results revealed positive associations among the study variables. Also, the mediatory role of the government response to COVID-19 was supported by the results. Originality/value This study aims to bring awareness and contribution in the body of knowledge about the importance of elements of good governance in building and sustaining public trust in local governments based on the fact that in countries such as Indonesia, there is a dearth of literature in this context. Further, it provides strategic and practical suggestions to the state regarding the advantages of using good governance practices in their communication with citizens in certain and uncertain situations, especially nowadays during the COVID-19 pandemic.

The impact of trust and commitment on value creation in asymmetric buyer–seller relationships: the mediation effect of specific asset investments

2017 ◽  
Vol 32 (3) ◽  
pp. 457-471 ◽  
Author(s):  
Po-Yuan Chen ◽  
Kuan-Yang Chen ◽  
Lei-Yu Wu
Keyword(s):  
Value Creation ◽  
Equation Modeling ◽  
Power Relationship ◽  
Unequal Distribution ◽  
Content Type ◽  
Cooperative Relationships ◽  
Relationship Value ◽  
Cooperative Relationship ◽  
The Impact ◽  
The Relationship

Purpose Previous studies have argued that trust and commitment can create value in cooperative relationships. However, this study observed that, in practice, trust and commitment alone may not ensure value creation in asymmetric relationships. Accordingly, this study aims to investigate the mediating role of specific assets in the effects of trust and commitment on value creation in asymmetric buyer–seller relationships. Design/methodology/approach Contract manufacturers (CMs) in Asia were sampled to validate the argument proposed by this study. Most Taiwanese CMs are partnered with international brands (original equipment manufacturers [OEMs]) that have stronger bargaining power. This cooperative relationship is characteristically asymmetric. A questionnaire method was applied, and structural equation modeling was performed to verify the proposed hypotheses. Findings Specific asset investment (SAI) was a crucial mediator that explained the effects of trust and commitment on the relationship value of an asymmetric cooperative relationship. Past studies have claimed that power asymmetry results in an unequal distribution of benefits. Nevertheless, regarding the relationship between CMs and OEMs, the study revealed that relationship value could still be increased once the congruent goals have been achieved by both parties. This finding contradicts past theoretical predictions. Practical implications Characteristically asymmetric CMs–OEMs (seller–buyer) relationships cannot be maintained merely through trust and commitment, particularly in the context of power and resource imbalances in which the stronger party often possesses a wider selection of prospective partners. The results of this study suggested that the CM should unilaterally invest in specific assets conducive to a cooperative relationship as an expression of faith in the relationship with the stronger firm, thereby creating opportunities for value cocreation. Originality/value The analysis of the relevance of relationship quality in the context of asymmetric cooperative relationships confirmed the mediating influences of SAI on ensuring value creation and the maintenance of the relationships. Relationship value could still be created despite the highly asymmetry power relationship. The CMs’ SAI is the key mechanism for this achievement.

A fuzzy DEMATEL – Fuzzy Binary Logistic Regression approach to evaluate and prioritize risks and simulated annealing optimization algorithm (an empirical study in energy projects)

2020 ◽  
Vol 13 (5) ◽  
pp. 1025-1050
Author(s):  
Reyhane Hashemi ◽  
Reza Kamranrad ◽  
Farnoosh Bagheri ◽  
Iman Emami
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Binary Logistic Regression ◽  
Fuzzy Decision Making ◽  
Fuzzy Dematel ◽  
Data Set ◽  
Content Type ◽  
Energy Projects ◽  
High Level ◽  
Level Of Risk

PurposeThe aim of this paper is to predict and minimize the risks of oil, gas and petrochemical projects. Besides, reducing the likelihood of occurrence and minimizing risks impact on the projects to reduce the probable costs and improve the economic situation is another purpose of this paper.Design/methodology/approachThis paper provides a fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) – a technique that assist to solve decision-making problems – and IP (Impact & Probability) table methods to identify and analyze critical risks in energy projects, and then fuzzy Binary Logistic Regression (BLR) in order to predict the probability of each level of risk for more efficient risk management in projects. Furthermore, in this paper, the fuzzy BLR (FBLR) is optimized such that the probability of a high level of risk for the implementation of the project has been minimized using meta-heuristic algorithm.FindingsThe results from the point of view of experts show that combination of fuzzy DEMATEL with FBLR approach as well as using SA algorithm, in order to optimize the high level of risks, can provide a smart approach to managing risks with more success.Practical implicationsThe application of the proposed method is illustrated via a real data set from energy projects.Originality/valueWe propose combined fuzzy DEMATEL and FBLR methods to predict and optimize the risks of the energy projects, which is the innovation of this paper.

scholarly journals Exploring the human factor in cyber-enabled and cyber-dependent crime victimisation: a lifestyle routine activities approach

2020 ◽  
Vol 30 (6) ◽  
pp. 1665-1687
Author(s):  
Naci Akdemir ◽  
Christopher James Lawless
Keyword(s):  
Logistic Regression ◽  
Binary Logistic Regression ◽  
Routine Activities ◽  
Public Access ◽  
Future Research ◽  
Control Group ◽  
Binary Logistic Regression Analysis ◽  
Data Set ◽  
Content Type ◽  
Online Activities

PurposeThe purpose of this study was to explore human factors as the possible facilitator of cyber-dependent (hacking and malware infection) and cyber-enabled (phishing) crimes victimisation and to test the applicability of lifestyle routine activities theory (LRAT) to cybercrime victimisation.Design/methodology/approachA mixed methods research paradigm was applied to address the research questions and aims. The data set of Crime Survey of England and Wales (CSEW) 2014/2015 and 42 semi-structured interviews conducted with victims of cybercrime and non-victim control group participants were analysed via binary logistic regression and content analyses methods.FindingsThis research illustrated that Internet users facilitated their victimisation through their online activities. Additionally, using insecure Internet connections and public access computers emerged as risk factors for both cyber-enabled and cyber-dependent crime victimisation. Voluntary and involuntary personal information disclosure through social networking sites and online advertisement websites increased the likelihood of being a target of phishing. Deviant online activities such as free streaming or peer-to-peer sharing emerged to increase the risk of cyber-dependent crime victimisation.Research limitations/implicationsThe binary logistic regression analysis results suggested LRAT as a more suitable theoretical framework for cyber-dependent crime victimisation. Future research may test this result with models including more macro variables.Practical implicationsPolicymakers may consider implementing regulations regarding limiting the type of information required to login to free Wi-Fi connections. Checking trust signs and green padlocks may be effective safeguarding measures to lessen the adverse impacts of impulsive buying.Originality/valueThis study empirically illustrated that, besides individual-level factors, macro-level factors such as electronic devices being utilised to access the Internet and data breaches of large companies also increased the likelihood of becoming the victim of cyber-enabled and cyber-dependent crime.

Light touch, heavy hand: principals and data-use PLCs

2017 ◽  
Vol 55 (4) ◽  
pp. 376-389 ◽  
Author(s):  
Alice Huguet ◽  
Caitlin C. Farrell ◽  
Julie A. Marsh
Keyword(s):  
Professional Learning ◽  
Low Income ◽  
Equal Opportunity ◽  
Data Use ◽  
Opportunity To Learn ◽  
School Level ◽  
Comparative Case Study ◽  
Data Set ◽  
Content Type ◽  
Principal's Role

Purpose The use of data for instructional improvement is prevalent in today’s educational landscape, yet policies calling for data use may result in significant variation at the school level. The purpose of this paper is to focus on tools and routines as mechanisms of principal influence on data-use professional learning communities (PLCs). Design/methodology/approach Data were collected through a comparative case study of two low-income, low-performing schools in one district. The data set included interview and focus group transcripts, observation field notes and documents, and was iteratively coded. Findings The two principals in the study employed tools and routines differently to influence ways that teachers interacted with data in their PLCs. Teachers who were given leeway to co-construct data-use tools found them to be more beneficial to their work. Findings also suggest that teachers’ data use may benefit from more flexibility in their day-to-day PLC routines. Research limitations/implications Closer examination of how tools are designed and time is spent in data-use PLCs may help the authors further understand the influence of the principal’s role. Originality/value Previous research has demonstrated that data use can improve teacher instruction, yet the varied implementation of data-use PLCs in this district illustrates that not all students have an equal opportunity to learn from teachers who meaningfully engage with data.

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