Wise reasoning and political leadership amid COVID-19 pandemic: an exploratory study on Ghana

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Senanu Kwasi Kutor ◽  
Emmanuel Kyeremeh ◽  
Bernard Owusu ◽  
Daniel Amoak ◽  
Temitope Oluwaseyi Ishola
Keyword(s):  
Decision Making ◽  
Exploratory Study ◽  
Online Survey ◽  
Health Workers ◽  
Political Leadership ◽  
Management Decision ◽  
Political Leaders ◽  
Content Type ◽  
Research Participants ◽  
The Government

PurposeThis paper examines how one group of frontline health workers (nurses) amid coronavirus disease 2019 (COVID-19) pandemic perceive the Government of Ghana (GOG)'s decision to ease the lockdown restrictions when cases were increasing. This paper contributes to the literature on Igor Grossman's concept of wise reasoning and its applicability to COVID-19 management decision-making by political leaders.Design/methodology/approachThe paper employed an exploratory qualitative design. The decision to adopt qualitative method is linked to the paucity of research on wise reasoning, political leadership and COVID-19. The paper draws on qualitative online survey with 42 nurses located in Accra Metropolis, Ghana.FindingsThe paper demonstrates that a confluence of research participants perceived the government's act of easing the lockdown restrictions to be in bad faith on account of (1) nonrecognition of different perspectives and viewpoints from stakeholders and interest groups; (2) rising number of cases which naturally make the decision to lift the restriction unwise; (3) concerns about the prioritization of peripheral issues over citizens' health and (4) concerns about limited and robust health facilities and their implications.Research limitations/implicationsThe key claims must be assessed against the limitations of the study. First, the study is an exploratory study and, therefore, not intended for a generalization purpose. Second, the research participants are highly educated, and the responses in this study are skewed toward them.Originality/valueThe paper is novel in seeking to explore wise reasoning and political leadership during a global pandemic such as COVID-19. This exploratory study demonstrates that COVID-19, though devastating and causing havoc, presents an opportunity to test Igor Grossmann's wise reasoning framework about decision-making by political leaders. This extends the literature on wise reasoning beyond the discipline of psychology (the fact that all the authors are geographers) and Global North to Global South since the data for this study are gathered in Ghana.

The use and non-use of the government financial report by Maltese Members of Parliament

2018 ◽  
Vol 31 (4) ◽  
pp. 1124-1144 ◽  
Author(s):  
Josette Caruana ◽  
Brady Farrugia
Keyword(s):  
Decision Making ◽  
Information Overload ◽  
Qualitative Interviews ◽  
Financial Reports ◽  
Content Type ◽  
Financial Report ◽  
Members Of Parliament ◽  
The Government ◽  
And Performance ◽  
Questionnaire Research

Purpose The purpose of this paper is to examine the use and non-use of the Government Financial Report by Maltese Members of Parliament (MPs). It refers to information overload theory to analyse the gap between financial reports and their relevance for decision making. Design/methodology/approach A mix of qualitative (interviews) and quantitative (questionnaire) research tools are applied, with the Maltese MPs being the research participants. This method is acclaimed to be comprehensive, but this study highlights certain disadvantages when applied in the political arena. Findings The characteristics of the information itself could be the main cause of information overload, resulting in the non-use of the financial report for decision making. Politicians refer to financial data for their decision making, but not to the data presented in the financial report. Irrespective of the politician’s professional background, the data in the financial report is perceived as incomplete and outdated. Practical implications The cause of information overload and its effects are important considerations for preparers of financial information and accounting standard setters, if they wish that their production is relevant for decision makers. Originality/value There is an increase in research concerning politicians’ use of budgetary and performance information, at local and regional levels of government. This study investigates exclusively the use of the financial report by politicians at central level, in a politically stable environment.

The framework of data-driven and multi-criteria decision-making for detecting unbalanced bidding

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huimin Li ◽  
Limin Su ◽  
Jian Zuo ◽  
Xiaowei An ◽  
Guanghua Dong ◽  
...  
Keyword(s):  
Decision Making ◽  
Distance Measure ◽  
Public Procurement ◽  
Unit Price ◽  
Data Driven ◽  
Relative Distance ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Content Type ◽  
The Government

PurposeUnbalanced bidding can seriously imposed the government from obtaining the best value for the taxpayers' money in public procurement since it increases the owner's cost and decreases the fairness of the competitive bidding process. How to detect an unbalanced bid is a challenging task faced by theoretical researchers and practical actors. This study aims to develop an identification method of unbalanced bidding in the construction industry.Design/methodology/approachThe identification of unbalanced bidding is considered as a multi-criteria decision-making (MCDM) problem. A data-driven unit price database from the historical bidding document is built to present the reference unit prices as benchmarks. According to the proposed extended TOPSIS method, the data-driven unit price is chosen as the positive ideal solution, and the unit price that has the furthest absolute distance measure as the negative ideal solution. The concept of relative distance is introduced to measure the distances between positive and negative ideal solutions and each bidding unit price. The unbalanced bidding degree is ranked by means of relative distance.FindingsThe proposed model can be used for the quantitative evaluation of unbalanced bidding from a decision-making perspective. The identification process is developed according to the decision-making process. The finding shows that the model will support owners to efficiently and effectively identify unbalanced bidding in the bid evaluation stage.Originality/valueThe data-driven reference unit prices improve the accuracy of the benchmark to evaluate the unbalanced bidding. The extended TOPSIS model is applied to identify unbalanced bidding; the owners can undertake objective decision-making to identify and prevent unbalanced bidding at the stage of procurement.

scholarly journals Manager perceptions of big data reliability in hotel revenue management decision making

2019 ◽  
Vol 36 (1) ◽  
pp. 25-39 ◽  
Author(s):  
David Egan ◽  
Natalie Claire Haynes
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Revenue Management ◽  
Management Decision ◽  
Local Market ◽  
Data Systems ◽  
Local Data ◽  
Content Type ◽  
User Input ◽  
Management Decision Making

PurposeThe purpose of this paper is to investigate the perceptions that managers have of the value and reliability of using big data to make hotel revenue management and pricing decisions.Design/methodology/approachA three-stage iterative thematic analysis technique based on the approaches of Braun and Clarke (2006) and Nowell et al. (2017) and using different research instruments to collect and analyse qualitative data at each stage was used to develop an explanatory framework.FindingsWhilst big data-driven automated revenue systems are technically capable of making pricing and inventory decisions without user input, the findings here show that the reality is that managers still interact with every stage of the revenue and pricing process from data collection to the implementation of price changes. They believe that their personal insights are as valid as big data in increasing the reliability of the decision-making process. This is driven primarily by a lack of trust on the behalf of managers in the ability of the big data systems to understand and interpret local market and customer dynamics.Practical implicationsThe less a manager believes in the ability of those systems to interpret these data, the more they perceive gut instinct to increase the reliability of their decision making and the less they conduct an analysis of the statistical data provided by the systems. This provides a clear message that there appears to be a need for automated revenue systems to be flexible enough for managers to import the local data, information and knowledge that they believe leads to revenue growth.Originality/valueThere is currently little research explicitly investigating the role of big data in decision making within hotel revenue management and certainly even less focussing on decision making at property level and the perceptions of managers of the value of big data in increasing the reliability of revenue and pricing decision making.

An approach to evaluation of emergency plans for unconventional emergency events based on soft fuzzy rough set

Kybernetes ◽  
2016 ◽  
Vol 45 (3) ◽  
pp. 461-473 ◽  
Author(s):  
Sun Bingzhen ◽  
Ma Weimin
Keyword(s):  
Decision Making ◽  
Emergency Management ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Management Decision ◽  
Fuzzy Rough Set ◽  
Emergency Plans ◽  
Content Type ◽  
Emergency Events

Purpose – The purpose of this paper is to present a new method for evaluation of emergency plans for unconventional emergency events by using the soft fuzzy rough set theory and methodology. Design/methodology/approach – In response to the problems of insufficient risk identification, incomplete and inaccurate data and different preference of decision makers, a new model for emergency plan evaluation is established by combining soft set theory with classical fuzzy rough set theory. Moreover, by combining the TOPSIS method with soft fuzzy rough set theory, the score value of the soft fuzzy lower and upper approximation is defined for the optimal object and the worst object. Finally, emergency plans are comprehensively evaluated according to the soft close degree of the soft fuzzy rough set theory. Findings – This paper presents a new perspective on emergency management decision making in unconventional emergency events. Also, the paper provides an effective model for evaluating emergency plans for unconventional events. Originality/value – The paper contributes to decision making in emergency management of unconventional emergency events. The model is useful for dealing with decision making with uncertain information.

Grey assessment and prediction of the financial agglomeration degree in central five cities

2014 ◽  
Vol 4 (1) ◽  
pp. 95-103 ◽  
Author(s):  
Li Li ◽  
Guo-hui Hu
Keyword(s):  
Decision Making ◽  
Scientific Development ◽  
Fuzzy Decision Making ◽  
Grey Prediction ◽  
Fuzzy Decision ◽  
Content Type ◽  
Multiple Dimension ◽  
The Government ◽  
Development Tendency ◽  
Decision Making Model

Purpose – At present, financial agglomeration tendency in domestic and foreign countries is increasingly evident. Therefore, from a comparative perspective, this paper aims to assess and predict the financial agglomeration degree in central five cities. Design/methodology/approach – According to the diversity of evaluating indexes and the uncertainty of financial agglomeration, this paper constructs a set of indexes of evaluating the financial agglomeration degree, comprehensively evaluates the financial agglomeration degree of the five cities – Wuhan, Changsha, Zhengzhou, Nanchang and Hefei – in China's middle region from 2001 to 2010 by using the multiple dimension grey fuzzy decision-making model, and predicts their development tendency by using the GM (1, 1, β) model. Findings – The results show that the multiple dimension grey fuzzy decision-making pattern cannot only be used to determine the weights of evaluating indexes, but also get the fuzzy partition and ranking order of the financial agglomeration in central five cities. The grey prediction results can objectively reflect the development tendency of the financial agglomeration in central five cities. Practical implications – From the results, it is necessary for any competitive city to clarify their relative strengths and weaknesses in order for the accurate location and scientific development, and it also provides a reference for the government decision-making. Originality/value – The paper succeeds in using the multiple dimension grey fuzzy decision-making model to measure the financial agglomeration degree of the five central cities and the grey prediction model to predict future trends.

The subjective side of DiDIY: the profile of makers in network marketers communities

2018 ◽  
Vol 52 (1) ◽  
pp. 84-104 ◽  
Author(s):  
Carolina Guerini ◽  
Eliana Alessandra Minelli
Keyword(s):  
Digital Literacy ◽  
Exploratory Study ◽  
Online Survey ◽  
Personal Characteristics ◽  
Network Marketing ◽  
Content Type ◽  
Direct Sales ◽  
Do It Yourself ◽  
The Impact ◽  
Subjective Side

Purpose The purpose of this paper is to focus on the profile of DiDIYers and the antecedents of digital do it yourself (DiDIY) in Network Marketing Direct Selling Organizations (NMDSO). Design/methodology/approach A two-step research design allowed the detection of DiDIYers strictu sensu (i.e. digital makers). After collecting data about the attitudes and the actual use of digital technology (DT) by network marketers through an online survey, an open-ended interview technique made it possible to analyze the personal characteristics of DiDIYers, the motivations that drive them and the activities that mainly foster the creation of artifacts in the DT domain. Besides, it allowed to recognize the perceived benefits and the impact of DiDIY output on networkers’ downline and firms’ performance. Findings The results provide a preliminary profile of the DiDIYer in network marketing communities that is suitable for further comparative studies. More specifically, this exploratory study acknowledges the most important antecedents of DiDIY in digital literacy – including the awareness of being a digital literate and/or a potential appropriateur – and in organizational culture. Research limitations/implications This is an exploratory study based on a limited sample of DiDIYers, nevertheless it offers a preliminary view of the subjective side of the DiDIY phenomenon in network marketing and represents as well a context-bound study. Practical implications Considering the ascribed benefits of DiDIY output on the traditional network marketing objectives (effectiveness, efficiency, cohesion, mutual assistance and reinforcement) network marketing communities could benefit from an increase of attention to the topic. Originality/value The study throws light on the process of DiDIY within direct sales and network marketing activities by defining a preliminary profile of digital makers and thus, underlining a phenomenon neglected so far.

Motivations, barriers and readiness factors for Quality 4.0 implementation: an exploratory study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Michael Sony ◽  
Jiju Antony ◽  
Jacqueline Ann Douglas ◽  
Olivia McDermott
Keyword(s):  
Empirical Study ◽  
Exploratory Study ◽  
Design Methodology ◽  
Online Survey ◽  
Practical Relevance ◽  
Theoretical Base ◽  
Content Type ◽  
Body Of Knowledge ◽  
Practical Implications

PurposeQuality 4.0 is the new buzzword among quality professionals. There has been no empirical study of Quality 4.0 yet. Hence, the purpose of this paper is to investigate what are the motivations, barriers and readiness factors for Quality 4.0 implementation.Design/methodology/approachThis study uses an online survey on senior quality professionals working in leading companies in Europe and America. In total, 50 participants participated in this study.FindingsThis study finds the top five motivating, barriers and readiness factors for Quality 4.0 implementation. These factors are ranked in terms of the order of importance as perceived by senior quality professionals.Research limitations/implicationsThis is the first empirical study on Quality 4.0 that investigates the motivation, barriers and readiness factors of Quality 4.0. This study provides a theoretical base of Quality 4.0 body of knowledge in terms of its practical relevance and adoption in modern-day organizations.Practical implicationsOrganizations can use this study to understand what the motivation and barriers for implementing Quality 4.0. In addition, before implementation of Quality 4.0, the readiness factor for Quality 4.0 can be used by organizations to evaluate their preparedness before the actual implementation of the initiative.Originality/valueThis is the first empirical study on Quality 4.0 that captures the viewpoints of senior quality professionals on the motivation, barriers and readiness factors of Quality 4.0.

COVID-19 complications and entrepreneurial intention among the entrepreneurs of Pakistan: evidence from the second wave of the pandemic

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bahadur Ali Soomro
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Final Analysis ◽  
Entrepreneurial Intention ◽  
Equation Model ◽  
Cross Sectional ◽  
Content Type ◽  
Negative Effect ◽  
The Government ◽  
Second Wave

Purpose At present, nearly the whole globe is facing a severe threat of COVID-19. This study aims to examine the COVID-19 complications and entrepreneurial intention among the entrepreneurs of Pakistan. Design/methodology/approach The study used a deductive approach. An online survey is conducted to collect cross-sectional data from entrepreneurs of Pakistan. Convenience sampling is applied to target the respondents. In total, 278 usable answers proceed for final analysis. The structural equation model (SEM) is used to infer the results. Findings The findings of the study highlight a significant negative effect of fear of COVID-19 (FO19), perceived susceptibility (PSU) and perceived severity (PSE) on entrepreneurial intention (EI) among the entrepreneurs. Practical implications The study would provide the guidelines for policymakers and planners to combat the barriers of fear, PSU and PSE during a pandemic. The findings of the second wave of COVID-19 may provide a warning to the government to take preventive measures to face the severe effect of the pandemic. Finally, the outcomes of the study may enrich the depth of COVID-19 literature globally. Originality/value This study is the first study highlighting factors such as fear, PSU and PSE toward EI in COVID-19 second wave.

Public health challenges during the COVID-19 outbreak in Nepal: a commentary

2020 ◽  
Vol 34 (4) ◽  
pp. 373-376 ◽  
Author(s):  
Sharmistha Sharma ◽  
Jeevan Bhatta
Keyword(s):  
Public Health ◽  
Design Methodology ◽  
Health Workers ◽  
Health Interventions ◽  
Content Type ◽  
The Public ◽  
Public Health Challenges ◽  
Current Scenario ◽  
Public Health Officials ◽  
The Government

PurposeThe purpose of this paper is to depict the current scenario of coronavirus diseases 2019 (COVID-19) in Nepal, how the government is tackling this pandemic as well as look at the public health challenges that Nepal is facing and might face in the future.Design/methodology/approachThis paper is a viewpoint of COVID-19 activities conducted in Nepal.FindingsNepal is vulnerable to COVID-19, as it shares borders with China and India. Cases have started to be seen in different parts of Nepal. Government of Nepal has started various measures to control the spread of the virus such as deploying health workers, information sharing via different mediums. However, there are still many challenges that the government and public health officials need to be concerned about as well.Originality/valueThis paper provides information about the situation of COVID-19 in Nepal, how the government is handling, and public health challenges that may arise. This paper can be beneficial for further public health interventions.

scholarly journals From bricks-and-mortar to bricks-and-clicks

2018 ◽  
Vol 48 (4) ◽  
pp. 415-438 ◽  
Author(s):  
Johannes Wollenburg ◽  
Alexander Hübner ◽  
Heinrich Kuhn ◽  
Alexander Trautrims
Keyword(s):  
Decision Making ◽  
Exploratory Study ◽  
Primary Source ◽  
Delivery Systems ◽  
Content Type ◽  
Configuration Theory ◽  
Logistics Networks ◽  
Grocery Retailing ◽  
Last Mile ◽  
Last Mile Delivery

Purpose The advent of grocery sales through online channels necessitates that bricks-and-mortar retailers redefine their logistics networks if they want to compete online. Because the general understanding of such bricks-and-clicks logistics systems for grocery is still limited, the purpose of this paper is to analyze the internal logistics networks used to serve customers across channels by means of an exploratory study with retailers from different contexts. Design/methodology/approach A total of 12 case companies from six European countries participated in this exploratory study. Face-to-face interviews with managers were the primary source for data collection. The heterogeneity of the sample enabled the authors to build a typology of logistics networks in grocery retailing on multiple channels and to understand the advantages of different warehousing, picking, internal transportation and last-mile delivery systems. Findings Bricks-and-mortar grocery retailers are leveraging their existing logistics structures to fulfill online orders. Logistics networks are mostly determined by the question of where to split case packs into customer units. In non-food logistics, channel integration is mostly seen as beneficial, but in grocery retailing, this depends heavily on product, market and retailer specifics. The data from the heterogeneous sample reveal six distinct types for cross-channel order fulfillment. Practical implications The qualitative analysis of different design options can serve as a decision support for retailers developing logistics networks to serve customers across channels. Originality/value The paper shows the internal and external factors that drive the decision-making for omni-channel (OC) logistics networks for previously store-based grocery retailers. Thereby, it makes a step toward building a contingency and configuration theory of retail networks design. It discusses in particular the differences between grocery and non-food OC retailing, last-mile delivery systems and market characteristics in the decision-making of retail networks design.

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