bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analyzing the impact of financial policies on construction projects performance using system dynamics
Authors: Dabirian Shahin , Ahmadi Mostafa , Abbaspour Soroush 
Published: December 2021

PurposeThe research aims to analyze the effects of financial policies on a cash flow system to meet project performance goals and improve profitability. The policies are divided into four groups; owner related, bank-related, labor-related and supplier-related policies. This research presents a developed model for planning, forecasting and managing the cash flow in construction projects using system dynamics (SD).Design/methodology/approachA System Dynamics (SD model is developed to evaluate the effect of different financial policies on construction project performance. By identifying the feedback loops in the cash flow system, a dynamic model is developed to forecast, plan and manage different policies, including prepayment, overbilling, loans, incentive payment, delay in payment and equipment lease.FindingsA case study (a construction activity as part of a pharmaceutical factory development project) is used to analyze the cash flow and financing policies. The findings demonstrate the effects of different policies such as incentive payments on project cash flow estimation, which proved to reduce the project duration, improve the profit and increase the financing during the project execution.Originality/valueThe presented model would be a major attempt to estimate precisely the cash flow and the effect of employing different financial policies on project performance. Applying this model, project managers and decision-makers have the opportunity to model different financial policies concerning a variety of limiting variables applicable to each situation. Ultimately, with this, one can make more reasoned decisions and, in effect, optimize the utility of the project.
Productivity assessment of the real estate industry in China: a DEA-Malmquist index
Authors: Liu Xiao-xiao , Liu Hui-hui , Yang Guo-liang , Pan Jiao-feng 
Published: December 2021

PurposeThe high-quality development of the real estate industry is crucial to the transformation of China's economy. However, few studies apply the productivity to explore the development path of the real estate industry in China. To fill this gap, this study mainly investigates the total factor productivity (TFP) of the real estate industry of 30 sample provinces in mainland China from 2007 to 2016.Design/methodology/approachThe Malmquist index is applied to estimate the productivity (i.e. TFP) of the real estate industry, based on the data envelopment analysis (DEA). Then, the truncated tobit regression analysis explores the external influencing factors on the TFP of the real estate industry.FindingsThrough empirical analysis, it is found that the high-quality development of the real estate industry depends on the technological innovation by the real estate enterprises and the targeted policies by the provincial government. Moreover, the development of the real estate industry has a positive correlation with the growth of China's economy but a negative correlation with the development of other industries.Practical implicationsTFP mainly reveals the development status of the provincial real estate industry and identifies the driving force for exploring the high-quality development mode of the real estate sector. Furthermore, the fluctuation rule of TFP can be applied to predict the development trend of the real estate industry in the future.Originality/valueAs an application, this study measures the TFP of the Chinese real estate industry in different provinces and periods. The results have meaningful policy implications for policymakers regulating the real estate industry.
Human resource management studies in hospitality and tourism domain: a bibliometric analysis
Authors: Pelit Elbeyi , Katircioglu Esra 
Published: December 2021

Purpose
Bibliometric analysis allows examining a large volume of bibliometric data within an objective perspective. The purpose of this study is to conduct a bibliometric analysis to reveal the current status of human resource management (HRM) studies while exploring research trends and future directions.

Design/methodology/approach
Web of Science was chosen to identify studies in the field. In total, 1,404 articles were selected for bibliometric analysis. The VOSviewer program was used to analyze and visualize obtained data.

Findings
The findings revealed that the most frequently used keywords were job satisfaction, hospitality, tourism, HRM and work engagement. Karatepe and Baum were the most cited authors and Inoue (2011), Felps (2009), Shaw (2011), Gursoy (2008) and Cooper (2006) were the most cited documents in HRM studies in the hospitality and tourism domain.

Research limitations/implications
The study provides some theoretical and practical implications. The study findings can give researchers and practitioners insights into the current position of HRM studies and trend topics. Besides, it can be used as a practical guide for determining potential gaps in the literature.

Originality/value
This study contributes to the literature by bringing HRM studies in the hospitality and tourism fields together and revealing the current position of the inquiry by determining the most cited authors, articles, journals, organizations and collaborations among authors.
Entrepreneurial performance of new-generation rural migrant entrepreneurs in China
Authors: Ma Hongyu , Zhang Yongmei Carol , Butler Allan , Guo Pengyu , Bozward David 
Published: December 2021

PurposeChina has a new rural revitalization strategy to stimulate rural transformation through modernizing rural areas and resolving their social contradictions. While social capital is recognized as an important element to rural revitalization and entrepreneurship, research into the role of psychological capital is less developed. Therefore, this paper assesses the impact of both social and psychological capital on entrepreneurial performance of Chinese new-generation rural migrant entrepreneurs (NGRMEs) who have returned to their homes to develop businesses as part of the rural revitalization revolution.Design/methodology/approachBased on a survey, data were collected from 525 NGRMEs in Shaanxi province. This paper uses factor analysis to determine variables for a multiple linear regression model to investigate the impacts of dimensions of both social capital and psychological capital on NGRMEs’ entrepreneurial performance.FindingsThrough the factor analysis, social capital of these entrepreneurs consists of five dimensions (reputation, participation, networks, trust and support), psychological capital has three dimensions (innovation and risk-taking, self-efficacy and entrepreneurial happiness) and entrepreneurial performance contains four dimensions (financial, customer, learning and growth, and internal business process). Furthermore, the multiple linear regression model empirically verifies that both social capital and psychological capital significantly influence and positively correlate with NGRMEs' entrepreneurial performance.Originality/valueThis study shows the importance of how a mixture of interrelated social and psychological dimensions influence entrepreneurial performance that may contribute to the success of the Chinese rural revitalization strategy. This has serious implications when attempting to improve the lives of over 100 million rural Chinese citizens.
Impact of hydropower consumption, foreign direct investment and manufacturing performance on CO2emissions in the ASEAN-4 countries
Authors: Danmaraya Ismail Aliyu , Danlami Abubakar Hamid 
Published: December 2021

PurposeThe continuous increase in the discharges of carbon emissions (CO2) in the global atmosphere and the likely negative consequences of this practice on the atmosphere draw the attention of researchers and policymakers to argue on the causes and perpetrators of CO2emissions. This paper aims to examine the impacts of hydropower consumption, FDI and manufacturing performance on CO2emissions in the Association of southeast Asian nations (ASEAN)-4 countries.Design/methodology/approachThe study uses the data on variables, such as hydro-power consumption, FDI, manufacturing value added and CO2emissions spanning the period 1980–2015. Autoregressive Distributive Lag Bound test approach was used to assess the relationships among the variables.FindingsThe long run estimation of elasticities for all the countries indicates that the coefficient of hydro power consumption was found to be significantly related to CO2emissions only in Malaysia. Additionally, the coefficients manufacturing performance were found to be significant in influence the amount of CO2emission in all the ASEAN-4 countries. Furthermore, the coefficients of FDI inflows were found to be significant in explaining CO2emissions in Malaysia and the Philippines, respectively. In the short run, the estimated results show that all the variables were found to be significant in explaining CO2emissions in the countries under study.Research limitations/implicationsSingapore is excluded from the ASEAN-4 due to insufficient data on hydro energy consumption.Practical implicationsThe study recommends that as Hydro power energy is a clean source of renewable electricity. Its consumption indicates a negative relationship with CO2emissions. The countries should emphasize more on the use of hydro source of energy than the other sources which increase the rate of CO2emissions in the atmosphere.Originality/valueAs most of the relevant previous studies did not consider the simultaneous impact of hydro energy consumption, FDI and manufacturing value added on CO2emissions in the ASEAN-4, this study is an important contribution to the existing relevant literature.
A novel approach for detection and classification of re-entrant crack using modified CNNetwork
Authors: Mahenge Shadrack Fred , Alsanabani Ala 
Published: December 2021

Purpose
In the purpose of the section, the cracks that are in the construction domain may be common and usually fixed with the human inspection which is at the visible range, but for the cracks which may exist at the distant place for the human eye in the same building but can be captured with the camera. If the crack size is quite big can be visible but few cracks will be present due to the flaws in the construction of walls which needs authentic information and confirmation about it for the successful completion of the wall cracks, as these cracks in the wall will result in the structure collapse.

Design/methodology/approach
In the modern era of digital image processing, it has captured the importance in all the domain of engineering and all the fields irrespective of the division of the engineering, hence, in this research study an attempt is made to deal with the wall cracks which are found or searched during the building inspection process, in the present context in association with the unique U-net architecture is used with convolutional neural network method.

Findings
In the construction domain, the cracks may be common and usually fixed with the human inspection which is at the visible range, but for the cracks which may exist at the distant place for the human eye in the same building but can be captured with the camera. If the crack size is quite big can be visible but few cracks will be present due to the flaws in the construction of walls which needs authentic information and confirmation about it for the successful completion of the wall cracks, as these cracks in the wall will result in the structure collapse. Hence, for the modeling of the proposed system, it is considered with the image database from the Mendeley portal for the analysis. With the experimental analysis, it is noted and observed that the proposed system was able to detect the wall cracks, search the flat surface by the result of no cracks found and it is successful in dealing with the two phases of operation, namely, classification and segmentation with the deep learning technique. In contrast to other conventional methodologies, the proposed methodology produces excellent performance results.

Originality/value
The originality of the paper is to find the portion of the cracks on the walls using deep learning architecture.
A time series projection model of online seasonal demand for American wine and potential disruption in the supply channels due to COVID-19
Authors: Huq Faizul , Jones Vernon , Hensler Douglas Alfred 
Published: December 2021

Purpose
This study statistically examines the shifting distribution channels in the American wine industry based on the growth trajectory of sales, seasonality and disruption due to consumers switching to online platforms. The purpose of this paper is to design a model that will have general applicability beyond the wine industry.

Design/methodology/approach
The research uses regression-based additive decomposition of time series data to predict the trajectory of the market share for the digital distribution channel. The study develops a statistical prediction model using time series data between 2007 and 2020, inclusive, sourced from US Annual Wine Reports and Bureau of Alcohol, Tobacco and Firearms databases.

Findings
The results show an increasing trajectory of wine sales through the online distribution channel with predictable seasonality. The disruptive effects of consumer switching behavior point to a steady increase in sales due both to increasing demand and accelerating switching. Nevertheless, the model shows that bricks and mortar purchases will remain strong and continue to account for the bulk of wine sales. COVID-19 has caused a step function increase in online sales but this should moderate after the crisis subsides and can be tested further.

Originality/value
This study is original in developing a model for an industry where bricks and mortar sales are growing and are expected to remain strong while there is still identifiable switching to online sales. The wine industry presents a classic case of accelerating switching behavior where there is still a strong franchise for in-store purchases. The model should have general applicability to distribution channels beyond the wine industry where steady growth, marked seasonality and disruptive consumer switching are in evidence.
Zoomvesting: angel investors' perception of subjective cues in online pitching
Authors: Kuhn Nicole , Sarfati Gilberto 
Published: December 2021

Purpose
The COVID-19 pandemic transformed angel investment meetings from in-person to online. The purpose of this paper is to explore whether this move affected angel investors' perception of subjective behavioral cues in pitch sessions within a large Brazilian angel group.

Design/methodology/approach
This study followed an exploratory approach using a triangulation process that combined observation, documents and interviews. Data collected by observation, document studies, and interviews were themed, coded, and organized during the research.

Findings
The move from in-person to online pitches did not seem to affect levels of trustworthiness or arrogance as angels assessed more message content during Q&A sessions. Body movement, gestures and “eye gaze” (i.e. the look on a presenter’s face) played a central role in passion assessment during in-person meetings. Body language was highly limited during online sessions and tone of voice became the main source of passion assessment.

Research limitations/implications
The findings of this study suggest that pitches at online meetings affect angel investors' perception of founders' subjective cues, particularly cues pertaining to passion. Entrepreneurs should be trained to convey passion with tone of voice and to improve their body language in the context of webcam use. The interviews with volunteer sampling were subject to volunteer bias. Additionally, the findings may be affected by cultural context.

Practical implications
A practical contribution of this study is to highlight the need for entrepreneurs to be trained for online pitches. In an online setting, body language is limited, but it is still possible to use one’s hands and tone of voice to connect better to investors.

Originality/value
This study is unique because it captures the transition of angel investment meetings from in-person affairs before the pandemic to online meetings during the pandemic crisis. These unique circumstances provided a real-world laboratory to observe founders' subjective cue effects on angel investment decision-making.
Barriers to corporate social responsibility implementation in the medium size manufacturing sector: an interpretive structure modelling approach
Authors: Dawar Gaurav , Singh Seema 
Published: December 2021

PurposeCorporate social responsibility (CSR) practices are gaining momentum globally but their implementation becomes problematic due to the presence of barriers. So, this study aims to identify the barriers to CSR implementation among manufacturing enterprises, develop their classification and establish relationships among the barriers.Design/methodology/approachAn exhaustive list of barriers was identified from the literature, and following surveys and expert opinions, 19 critical barriers were extracted. Interpretive structure modelling was used to understand the hierarchal and contextual relationships among barriers of CSR implementation.FindingsThe results show that are no autonomous variables present in the study. The proposed conceptual framework presents the hierarchy and interlinkage of barriers to CSR implementation in manufacturing enterprises. The results also indicate that rigidity in culture and corruption in the system and within the governance system of the country are the two most influential barriers that impede CSR implementation in manufacturing enterprises.Originality/valueThe interactions among CSR barriers provide policymakers, industrial practitioners and managers with a framework to recognise and evaluate mutual relationships and interlinking among barriers. CSR training and undertaking CSR in collaboration can help medium enterprises overcome these barriers and prepare strategies to mitigate their impact.
Human capital and organisational resilience in the context of manufacturing: a systematic literature review
Authors: Shela V. , Ramayah T. , Noor Hazlina Ahmad 
Published: December 2021

PurposeThe manufacturing sector is well known for its significance in upholding the economic prosperity of many nations. However, in today's unprecedented environment, the resilience of this sector has become vulnerable to relentless catastrophic events, thus gaining a serious concern among the economies driven by this sector. Albeit the various determinants, human capital emerges as the widely accepted core factor that holds the key to proliferate organisational resilience. Therefore, the present systematic literature review seeks to intensify the understanding of the link between human capital and organisational resilience in the manufacturing context.Design/methodology/approachThis paper systematically reviews the studies converging human capital and organisational resilience in the context of manufacturing from the year 2011 to 2021 based on the PRISMA protocol. A bibliographic coupling analysis was carried out using VOSviewer software to expose the main research themes and trends concerning the relationship.FindingsThe bibliographic coupling analysis discovered links between publications to produce a framework outlining a holistic state-of-art of the literature intersecting human capital and organisational resilience. The analysis identified main research themes by clustering the prior studies into seven groups, which describe the direction of the literature.Originality/valueThis study offers a novel framework and in-depth understanding to the research community to delve into the interrelationship between human capital and organisational resilience research. Guided by the gaps in the literature, a set of outstanding avenues for the forthcoming studies are also proposed.
Addressing customer misbehavior contagion in access-based services
Authors: Srivastava Himanshu Shekhar , Jayasimha K.R. , Sivakumar K. 
Published: December 2021

PurposeAccess-based services (ABSs) provide short-term access to goods, physical facilities, space or labor in exchange for access fees without transferring legal ownership (e.g. bike-sharing). This study aims to investigate what service providers can do to minimize financial losses when customers misbehave with the service providers’ assets in ABSs. The study also examines the effects of product misuse on subsequent customers and what factors may mitigate it.Design/methodology/approachThe study uses a scenario-based experiment to test the conceptual model.FindingsInjunctive norms reduce the mediating effect of descriptive norms on misbehavior contagion. As generally accepted and approved (injunctive) norms become salient, they override the impact of prevailing (descriptive) norms, thereby breaking the vicious cycle of misbehavior contagion. Customer-company identification (CCI) and reduced interpersonal anonymity mitigate the effects of previous misbehavior on misbehavior contagion.Practical implicationsABS firms should strive to mitigate the financial and reputational losses they suffer from customer misbehavior. Such mitigation would be a win-win for the ABS firm (reduced misbehavior) and the customers (improved user experience).Originality/valueThe research complements prior research highlighting the role of social norms in misbehavior contagion. The study demonstrates the role of boundary conditions by investigating the interactive effects of descriptive and injunctive norms. In addition, it shows the positive impact of CCI and reduced interpersonal anonymity on containing misbehavior contagion.
Through the rhetoric art: CEO incentives in sustainability sensitive industries
Authors: Mnif Yosra , Kchaou Jihene 
Published: December 2021

Purpose
This paper aims to explore the relationship between the readability of sustainability reports and chief executive officer (CEO) attributes, comprising monetary, non-monetary incentives and personal characteristics.

Design/methodology/approach
The study is based on an international sample of companies operating in sustainability-sensitive industries during 2016–2018.

Findings
The results prove that CEO monetary incentives, as well as CEO non-monetary incentives, negatively influence the readability of sustainability reports, revealed in a positive relationship with readability indexes, by providing reports with greater reading difficulty. Additionally, this study shows evidence about the relation of complementarity between these incentives. Other CEO characteristics have no significant effect on the readability of sustainability reports.

Originality/value
This research sheds the light on the role of CEO incentives in obfuscating sustainability information to portray the company, operating in sustainability-sensitive industries, in a favorable image.