bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analyzing the post-harvest supply chain enablers of vertical integration for rural employability and marketability
Authors: Priyadarshi Rahul , Routroy Srikanta , Kant Girish 
Published: June 2021

Purpose
The purpose of this study is to analyze the post-harvest supply chain enablers (PHSCEs) for vertical integration to enhance rural employability, farmer profitability and rural produce marketability (i.e. market prospects) in the post-harvest supply chain (PHSC). The impact of vertical integration is also explored for various commercial produces.

Design/methodology/approach
A structural equation modeling (SEM) of PHSCEs for vertical integration was developed to enhance market prospects, rural employability and farmer profitability. The impact of business-to-business (B2B) and business-to-customer market prospects are explored in various dimensions for stakeholders such as farmers, manufacturers (processors), distributors and retailers. The fuzzy technique for order of preference by similarity to ideal solution (F-TOPSIS) was used to prioritize these PHSCEs to improve market prospects and rural employability.

Findings
The PHSCEs are clustered into three groups, namely, initiatives at the strategic frontier, initiatives at the tactical frontier and concerns for rural employability via vertical integration using exploratory factor analysis, confirmatory factor analysis and SEM to prove the null hypothesis. With F-TOPSIS results, the availability of warehousing was found to be the most crucial enabler when observing the PHSCEs from the initiatives’ perspective. The technology adaptability and availability, institute for training and research and information infrastructure and information visibility were found to be the key PHSCEs when observed from PHSC stakeholders’ perspectives.

Research limitations/implications
The implementation of this study will improve the rural produce marketability, rural employability, B2B marketing (i.e. effective distribution) and subsequent value chains with the practice of vertical integration for fresh produce at the rural level.

Practical implications
The outcomes of this study have a key role in developing the rural regions and improving rural livelihoods via value addition. The awareness of commercial cultivation and value addition in rural areas needs to be improved. This will help farmers to earn better revenues with improved market prospects in comparison to the revenues obtained from the cultivation of staple/conventional crops.

Originality/value
In an era of cold chains and food processing, this study aims to disseminate awareness about value addition for commercial and fresh produces at the rural level. The implication of this study will improve rural produce marketability, rural employability and farmer profitability at the rural level with the level of vertical integration.
Relational key account management: insights from the Middle Eastern context
Authors: Badawi Nada Saleh , Battor Moustafa , Badghish Saeed 
Published: June 2021

PurposeThe purpose of this study is to explore relational aspects of key account management (KAM) in terms of social capital and relationship quality. The second objective was to identify the main dimensions that shape social capital and relationship quality within the KAM context. Finally, the third objective was to explore how relational KAM is practiced in the Middle Eastern context.Design/methodology/approachThis study used a qualitative methodology and a multiple case design. Semi-structured interviews were carried out with a sample of senior executives from large Saudi firms.FindingsThe results highlight the importance of relationship quality and social capital to KAM implementation. A multiple case study was used to build a relational framework for KAM in the Middle Eastern context.Practical implicationsThree strategies were identified for use within the context of KAM in the Saudi market. The first strategy consisted of a means of attracting potential customers. The second strategy involved communication, aimed at maintaining frequent contact with key accounts. Finally, the third strategy was concentrated in maintenance to help sustain the relationship with key accounts.Originality/valueThis study extends understanding and the application of KAM to the Middle Eastern context, contributing to social capital, relationship quality and the KAM literature.
Public relations in the age of data: corporate perspectives on social media analytics (SMA)
Authors: Fitzpatrick Kathy R. , Weissman Paula L. 
Published: June 2021

PurposeThe aim of this study was to understand how public relations leaders view and use social media analytics (SMA) and the impact of SMA on the public relations function.Design/methodology/approachThe research involved in-depth interviews with chief communication officers (CCOs) from leading multinational corporate brands.FindingsThe findings revealed that although CCOs perceive social media analytics as strategically important to the advancement of public relations, the use of social media data is slowed by challenges associated with building SMA capacity.Theoretical and practical implications – The research extends public relations theory on public relations as a strategic management function and provides practical insights for building SMA capabilities.Originality/valueThe study is among the first to provide empirical evidence of how companies are using social media analytics to enhance public relations efforts.
The effect of the imposition of a public reprimand on the stock price of companies in Malaysia
Authors: Zainudin Emie Famieza , Hashim Hafiza Aishah , Ismail Shahnaz 
Published: June 2021

Purpose
This paper aims to examine the effect of the imposition of public reprimands on the underlying stock prices of companies in Malaysia.

Design/methodology/approach
Data on 148 companies that received public reprimands during the period from 2007 to 2013 were collected from the Bursa Malaysia website to analyse the market reactions to the imposition of public reprimands.

Findings
Based on a market model of abnormal returns, the empirical result showed that the imposition of a public reprimand had a negative impact on a company’s stock price. Moreover, when a market model of average abnormal returns (AAR) was used, the result indicated that companies that had received a public reprimand had a negative AAR value.

Research limitations/implications
The findings from this study have implications for shareholders in making their investment decisions because they can switch their investments to other companies and markets after a company in which they are interested or have made an investment has received a public reprimand.

Originality/value
There is limited research on the imposition of public reprimands and the effect that it has on companies in developing countries. Hence, this study contributes to research in this area by providing evidence on the effect of public reprimand on stock price reactions in the context of a developing country, namely, Malaysia.
Islamic influence on customer satisfaction: evidence from Takaful and conventional insurance industry
Authors: Akhter Waheed , Jamil Hassan , Fam Kim-Shyan 
Published: June 2021

Purpose
This paper aims to identify Islamic influence on customer satisfaction in Pakistan Takaful and conventional insurance industry. Specifically, it analyses the vital role of Shari’ah perception in achieving higher customer satisfaction.

Design/methodology/approach
The data from 400 customers of both the family Takāful and life insurance (200 each) were collected. Further, the regression-based bootstrapping approach was applied through process macro developed by Hayes (2013).

Findings
The results indicate that a higher Shari’ah perception positively affects the customer satisfaction in the Takaful industry with improved service and relationship quality; whereas, it negatively affects customer satisfaction in case of the conventional insurance. Further, it has been found that customer satisfaction partially mediates the customer switching intentions in both the Takaful and conventional insurance industry in the presence of service quality and relationship quality.

Practical implications
This research will enable the practitioners to understand the factors that affect customer satisfaction in Pakistan. It has the essential policy and managerial implications for the growth of the Takaful and conventional insurance industry.

Originality/value
This is one of the pioneer studies investigating the impact of Islamic influence (specifically Shari’ah perception) on customer satisfaction in both the Takaful and conventional insurance industry in Pakistan.
Assessment of CMMI level of manufacturing industry using fuzzy logic approach: a case study
Authors: Thomas Tharun , P.G. Saleeshya , M. Suresh 
Published: June 2021

Purpose
The purpose of this study is to develop a CMMI model for the manufacturing industry and to find an appropriate method to assess the CMMI level. The CMMI level indicates how well the processes are planned, performed, measured and controlled, thus revealing the performance level of an organization.

Design/methodology/approach
Among the various process areas of CMMI, “organizational process focus” (OPF) is selected for the study. The CMMI model for the process area OPF is designed based on the CMMI enablers, criteria and attributes. Based on this multilevel model, a case study approach is adopted and fuzzy logic is used to measure the CMMI level of an organization. The fuzzy performance importance index (FPII) and the ranking score are used to further analyze the attributes.

Findings
The proposed model has been successfully used to measure the CMMI level of the manufacturing industry in south India. The triangular fuzzy number of the fuzzy CMMI measure index (FCMI) is obtained as (2.077, 3.534, 5.000). The transformation of FCMI back into linguistic terms discloses the current CMMI level of the industry as “Capability Maturity Level 2” (CML 2).

Originality/value
The authors tested the suitability of an inter-disciplinary approach known as CMMI for the process appraisal in the manufacturing sector. The investigation sets forth a unique framework to quantify the performance of practices followed in a manufacturing organization and thereby help the industry to realize the present strength and weakness in terms of process assets.
Money laundering through cryptocurrencies - analysis of the phenomenon and appropriate prevention measures
Authors: Wronka Christoph 
Published: June 2021

Purpose
The aim of this paper is to assess the relevance of cryptocurrencies with regard to the money laundering risk on the market and to present widespread money laundering techniques and recognizable patterns of abuse. In addition, this paper aims to find an answer to the question to what extent the measures of the fifth EU Anti-Money Laundering Directive (AMLD) as well as other appropriate preventive measures are sufficient to reduce the money laundering risk in the area of virtual currencies (VC).

Design/methodology/approach
Firstly, the analysis requires a consideration of the theoretical foundations of money laundering methods, as well as a presentation of the technical foundations of cryptocurrencies and their ecosystem. Secondly, it is discussed to what extent VC are suitable for money laundering, which characteristics enable them to launder money and which new money laundering techniques result from this. In addition, a comparison of different money laundering risk classification is done in relation to VC from the perspective of different actors in the financial market.

Findings
Owing to their simple electronic storage and transferability, crypto assets pose a concrete risk of money laundering. Their inclusion in the fifth AMLD was therefore a necessary step by the European legislator. However, the question arises to whether the directive and the further preventive measures presented in this paper sufficiently fulfil the objective of reducing the money laundering risk in relation to VC. One positive aspect is the inclusion of the crypto custody business as a financial service in the German Banking Act. According to the definition in Section 1 (1a) sentence 2 no. 6, the offering of wallets is subject to authorization and the offering party becomes an obligated party within the meaning of the Germany Money Laundering Act. From a supervisory point of view, the new licensing requirement is very much welcomed, as the custody of private cryptographic keys entails considerable risks. However, non-custodian wallet providers who do not store the private keys of their users, are not covered. A closer analysis of the amending directive to the fourth EU AMLD reveals that other relevant players in the crypto market, such as mixer and tumbler services, are also not covered.

Originality/value
It is quite clear that cryptocurrencies and the blockchain technology will continue to accompany one in the coming years. Further credit institutions arising in the market exposed to the described risks will be seen. The paper will therefore present and evaluate possible risk reduction/options for anti-money laundering for new and existing financial institutions.
A qualitative study exploring challenges in money laundering investigations
Authors: Shah Syed Mahmood Ali 
Published: June 2021

Purpose
This study aims to investigate the behavior of investigating officers in performance of their official duties of conducting inquiries and investigations of money laundering cases and their views about real problems and issues encountered during such investigations.

Design/methodology/approach
In total, 15 interviews were conducted with Inland Revenue Service (IRS) investigating officers and money laundering experts, whose responses were subjected to qualitative content analysis. Observation method was also used by the researcher during the whole process of investigation in multiple cases of money laundering investigations. Rationale for conducting qualitative study is to acquire original information from respondents which may not have been possible through a closed-ended questionnaire.

Findings
Findings of the study reveal that change in the behavior of investigating officers may result in better performance by way of conducting money laundering investigations in an effective and efficient manner. And the behavior of investigating officers may be changed by addressing the problems and issues encountered by them while at work and conducting anti money laundering investigations, better performance of investigating officers may result in better performance of investigating agency which may portray better image of the government in combating against terrorism financing and money laundering.

Research limitations/implications
Findings of the study are limited to the perspectives of 15 interviewees. For this reason, it is probable that a study with a larger sample conducted in other offices of IRS Intelligence as well as other investigating agencies could have provided different or more concrete results.

Practical implications
Evidently, the addressal of such issues may invariably enhance the effective enforcement of money laundering activities by way of improving the performance of investigating officers in performance of their duties relating to money laundering investigations. It also provides legislators and money laundering investigating agencies with valuable insight into the whole process of money laundering investigations and challenges encountered by investigating officers. By enhanced understanding the specific problems of investigations, the enabling authorities should be able to more effectively combat both money laundering and terrorism financing.

Originality/value
This is the first study, to the best of the author’s knowledge, which tries to explain the behavior of investigating officer toward their work and their perceived understanding of the problems being faced while conducting investigations in money laundering.
Development of a remaining useful life (RUL) model for reinforced concrete beams subjected to high-cycle fatigue
Authors: Wannenburg Willem , Inglis Helen M. , Wannenburg Johann , Roth Chris 
Published: June 2021

PurposeFailure of a critical reinforced concrete beam due to fatigue can have severe safety and production consequences, and preventative repair/replacement of such a beam is expensive. It would therefore be beneficial if repair/replacement can be done based on an accurately and conservatively predicted remaining useful life (RUL). The purpose of this paper is to develop such a model.Design/methodology/approachCondition-based maintenance is a maintenance approach that uses empirical/analytical models and a measurable condition to predict remaining useful life. The P-F curve (condition-life) is a useful tool that can aid in making these decisions. A model to create a P-F curve is developed using rebar fatigue test results (in the form of an S–N curve) and the Palmgren-Miner law of damage accumulation. A Monte Carlo simulation with statistical distributions is employed to provide confidence levels of RUL outputs.FindingsAn example of how the model can successfully be used in practice is shown in this paper, and a sensitivity study is performed leading to conclusions being drawn with regard to damage tolerant design considerations.Originality/valueIf a critical reinforced concrete beam fails due to fatigue can have serious consequences. This paper develops a model to help base repair/replacement decisions based on accurately and conservatively predicted RUL. Financial and safety benefits would be gained if this model would be used in practice.
Topic analysis of academic disciplines based on prolific and authoritative researchers
Authors: Yang Chao , Huang Cui , Su Jun , Wang Shutao 
Published: June 2021

PurposeThe paper aims to explore whether topic analysis (identification of the core contents, trends and topic distribution in the target field) can be performed using a more low-cost and easily applicable method that relies on a small dataset, and how we can obtain this small dataset based on the features of the publications.Design/methodology/approachThe paper proposes a topic analysis method based on prolific and authoritative researchers (PARs). First, the authors identify PARs in a specific discipline by considering the number of publications and citations of authors. Based on the research publications of PARs (small dataset), the authors then construct a keyword co-occurrence network and perform a topic analysis. Finally, the authors compare the method with the traditional method.FindingsThe authors found that using a small dataset (only 6.47% of the complete dataset in our experiment) for topic analysis yields relatively high-quality and reliable results. The comparison analysis reveals that the proposed method is quite similar to the results of traditional large dataset analysis in terms of publication time distribution, research areas, core keywords and keyword network density.Research limitations/implicationsExpert opinions are needed in determining the parameters of PARs identification algorithm. The proposed method may neglect the publications of junior researchers and its biases should be discussed.Practical implicationsThis paper gives a practical way on how to implement disciplinary analysis based on a small dataset, and how to identify this dataset by proposing a PARs-based topic analysis method. The proposed method presents a useful view of the data based on PARs that can produce results comparable to traditional method, and thus will improve the effectiveness and cost of interdisciplinary topic analysis.Originality/valueThis paper proposes a PARs-based topic analysis method and verifies that topic analysis can be performed using a small dataset.
Measuring financial performance of Indian manufacturing firms: application of decision tree algorithms
Authors: R.L. Manogna , Mishra Aswini Kumar 
Published: June 2021

Purpose
Determining the relevant information using financial measures is of great interest for various stakeholders to analyze the performance of the firm. This paper aims at identifying these financial measures (ratios) which critically affect the firm performance. The authors specifically focus on discovering the most prominent ratios using a two-step process. First, the authors use an exploratory factor analysis to identify the underlying dimensions of these ratios, followed by predictive modeling techniques to identify the potential relationship between measures and performance.

Design/methodology/approach
The study uses data of 25 financial variables for a sample of 1923 Indian manufacturing firms which exist continuously between 2011 and 2018. For prediction models, four popular decision tree algorithms [Chi-squared automatic interaction detector (CHAID), classification and regression trees (C&RT), C5.0 and quick, unbiased, efficient statistical tree (QUEST)] were investigated, and the information fusion-based sensitivity analyses were performed to identify the relative importance of these input measures.

Findings
Results show that C5.0 and CHAID algorithms produced the best predictive results. The fusion sensitivity results find that net profit margin and total assets turnover rate are the most critical factors determining the firm performance in an Indian manufacturing context. These findings may enable managers in their decision-making process and also have vital implications for investors in assessing the performance of the firm.

Originality/value
To the best of the authors’ knowledge, the current paper is the first to address the application of decision tree algorithms to predict the performance of manufacturing firms in an emerging economy such as India, with the latest data. This practical perspective helps the organizations in managing the critical parameters for the firm’s growth.
Market ranking and network structure: pathway to dominance
Authors: Sarabi Yasaman , Smith Matthew , McGregor Heather , Christopoulos Dimitris 
Published: June 2021

PurposeThe relationship between interlocking directorates and firm performance has been increasingly debated, with a focus on whether firm's centrality in interlock networks is associated with performance. The purpose of this study is to examine not only how a firm's position in this network is associated with performance but also how the performance of network partners can impact a firm's performance. This study examines how firms effectively utilise the interlock network to achieve the goal of higher market capitalisation – termed market capitalisation rank (MCR).Design/methodology/approachThe premise of the study is the UK FTSE 350 firms from 2014 to 2018. The paper makes use of a temporal network autocorrelation model to examine how firm characteristics, the structural position in the interlock network and the performance of network partners affect MCR over time.FindingsThe analysis indicates that firms with ties (via the interlock network) to firms with high market capitalisation are more likely to enhance their own MCR, highlighting network partners have the opportunity to play a critical role in a firm's dominance strategy to optimise firm value.Originality/valueThe value of this research is that it does not only look at the impact of a firm's position in the network on performance, but the impact of the performance of network partners on a firm's market performance as well.