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Article
Publication date: 3 July 2024

Saleh Abu Dabous, Ahmad Alzghoul and Fakhariya Ibrahim

Prediction models are essential tools for transportation agencies to forecast the condition of bridge decks based on available data, and artificial intelligence is paramount for…

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Abstract

Purpose

Prediction models are essential tools for transportation agencies to forecast the condition of bridge decks based on available data, and artificial intelligence is paramount for this purpose. This study aims at proposing a bridge deck condition prediction model by assessing various classification and regression algorithms.

Design/methodology/approach

The 2019 National Bridge Inventory database is considered for model development. Eight different feature selection techniques, along with their mean and frequency, are used to identify the critical features influencing deck condition ratings. Thereafter, four regression and four classification algorithms are applied to predict condition ratings based on the selected features, and their performances are evaluated and compared with respect to the mean absolute error (MAE).

Findings

Classification algorithms outperform regression algorithms in predicting deck condition ratings. Due to its minimal MAE (0.369), the random forest classifier with eleven features is recommended as the preferred condition prediction model. The identified dominant features are superstructure condition, age, structural evaluation, substructure condition, inventory rating, maximum span length, deck area, average daily traffic, operating rating, deck width, and the number of spans.

Practical implications

The proposed bridge deck condition prediction model offers a valuable tool for transportation agencies to plan maintenance and resource allocation efficiently, ultimately improving bridge safety and serviceability.

Originality/value

This study provides a detailed framework for applying machine learning in bridge condition prediction that applies to any bridge inventory database. Moreover, it uses a comprehensive dataset encompassing an entire region, broadening the model’s applicability and representation.

Details

Smart and Sustainable Built Environment, vol. 14 no. 2
Type: Research Article
ISSN: 2046-6099

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Article
Publication date: 22 November 2024

Alyaa Adel Ibrahim, Syed Zamberi Ahmad and Abdul Rahim Abu Bakar

This paper aims to examine the direct and indirect impact of competitive intelligence (CI) practices on sustainable competitiveness (SC) and firm performance (FP) mediated by…

66

Abstract

Purpose

This paper aims to examine the direct and indirect impact of competitive intelligence (CI) practices on sustainable competitiveness (SC) and firm performance (FP) mediated by strategic design collaboration (SDC).

Design/methodology/approach

This empirical study is based on a survey of 179 respondents comprising senior managers from pharmaceutical companies operating in Egypt across three sectors: public, private and multinational corporations (MNCs).

Findings

The results show that CI has a positive and significant impact on SDC, which, in turn, positively impacts SC and FP. The study also shows that SDC mediates the relationship between CI and both SC and FP.

Originality/value

This study sheds light on the significant and mediating role of SDC in explaining the relationship between CI and both SC and FP.

Details

Management Research Review, vol. 48 no. 2
Type: Research Article
ISSN: 2040-8269

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Article
Publication date: 23 October 2024

Jamil Anwar, Irfan Butt and Nisar Ahmad

The purpose of this research is to present a systematic analysis of consequents and antecedents of strategy and performance. To acheive this, this systematic review article…

117

Abstract

Purpose

The purpose of this research is to present a systematic analysis of consequents and antecedents of strategy and performance. To acheive this, this systematic review article analyzes and synthesizes mainstream research on small and medium-sized enterprises (SMEs) where Miles and Snow typology was used for strategic orientation of the SMEs. The specific focus of the research is to develop a conceptual framework showing consequents and antecedents of the strategic orientation.

Design/methodology/approach

This study uses systematic literature review (SLR) method to identify, summarize and synthesize literature on Miles and Snow typology. Preferred reporting method for systematic reviews and meta-analyses to ensure adherence to systematic approach. The key words search consists of the words: “Miles and Snow”, “Miles and Snow” and “miles-snow” from Web of Science and Scopus databases for sample articles.

Findings

The trend of research on SMEs using Miles and Snow typology is on the rise with a shift from developed countries to the developing ones. Support for strategy-performance relationship hypotheses is overwhelming but the traditional view is in decline while new antecedent and consequent variables are being added. Mediator and moderating variables are also identified.

Originality/value

The SLR where a synthesis approach was applied for finding antecedents and consequent variables of strategy-performance relationship along with a presentation of conceptual framework makes this research unique. Additionally, the article presents the trends of research over the time based on timeframe, regions, methodological approaches and hypotheses support.

Details

Management Research Review, vol. 48 no. 2
Type: Research Article
ISSN: 2040-8269

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Article
Publication date: 17 February 2025

Shalini Srivastava, Pavitra Dhamija and Poornima Madan

Using the person-organization (P-O) fit perspective, the present study explores the interlinkages between workplace spirituality (WPS) and organizational citizenship behavior…

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Abstract

Purpose

Using the person-organization (P-O) fit perspective, the present study explores the interlinkages between workplace spirituality (WPS) and organizational citizenship behavior (OCB). It further attempts to understand the mediating effects of psychological ownership and innovative work behavior (IWB) for the association.

Design/methodology/approach

Data was collected in three waves from 283 frontline hotel employees in the Delhi NCR region of India. Partial least square (PLS-structural equation modeling) was used to test the hypothesized model.

Findings

A significant association was found between WPS and OCB. Psychological ownership and IWB had a significant serial mediation effect on WPS and OCB relationship.

Practical implications

The involvement of spirituality in the workplace is one of the significant factors contributing to positive organizational performance from the perspective of perishable services. Hence, understanding and implementing best practices to encourage WPS and strengthening psychological ownership for favorable behavioral outcomes must be one of the significant priorities for human resource managers in the hospitality industry.

Originality/value

WPS is an under-explored area in the hospitality industry. The present study will be novel and critical in bridging the research gap wherein psychological ownership and IWBs mediate the relationship between WPS and OCB in the hospitality sector. Furthermore, the present study notably contributes to using person organizational fit theory for the hypothesized relationships between study variables for the hospitality sector employees in India.

Details

Journal of Asia Business Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1558-7894

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Article
Publication date: 10 January 2025

Han-Shen Chen and Ching-Tzu Chao

The purpose of this study was to explore Taiwanese consumers attitudes toward upcycled food as a viable and economically sustainable solution to food waste within the context of…

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Abstract

Purpose

The purpose of this study was to explore Taiwanese consumers attitudes toward upcycled food as a viable and economically sustainable solution to food waste within the context of global environmental pressures caused by the food system. This study applied the theory of planned behavior (TPB) and the value-attitude-behavior (VAB) model to explore the factors shaping consumer behavior toward upcycled food.

Design/methodology/approach

A survey was conducted using convenience sampling to collect 295 valid responses from Taiwanese consumers. The questionnaire was designed to measure the relationships among dietary values, moral attitudes, subjective norms, perceived behavioral control and consumers intentions toward the consumption of upcycled food. The data were analyzed using statistical methods to verify the hypotheses derived from the TPB and VAB models.

Findings

The findings revealed that dietary values significantly influence moral attitudes, subjective norms and perceived behavioral control, highlighting their pivotal role in consumer behavior toward upcycled food. Moral attitudes, subjective norms, perceived behavioral control, perceived responsibility and thriftiness were positively associated with the intention to consume upcycled food, indicating the potential of these factors in fostering sustainable consumption practices.

Originality/value

This study is unique in its application of the TPB and VAB models to examine the acceptance of upcycled food among Taiwanese consumers, contributing fresh insights into the field of sustainable consumer behavior. This highlights the significance of aligning dietary values and moral attitudes of consumers with sustainable consumption practices, offering a new perspective on promoting upcycled food in Taiwan and potentially in other regions with similar cultural and environmental frameworks.

Details

British Food Journal, vol. 127 no. 3
Type: Research Article
ISSN: 0007-070X

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Article
Publication date: 10 July 2024

Daquan Gao, Songsong Li and Yan Zhou

This study aims to propose a moderated mediation model to investigate the moderating effects of environmental, social and governance (ESG) performance on the relationship between…

597

Abstract

Purpose

This study aims to propose a moderated mediation model to investigate the moderating effects of environmental, social and governance (ESG) performance on the relationship between inefficient investment and firm performance and the mediating effect of firms that participate in institutional research on the relationship between investment efficiency and performance. This study also analyses the heterogeneity of the corporate nature, intensity of industrial research and development (R&D), industrial competition and regional marketization.

Design/methodology/approach

This study uses a panel data fixed-effects model to conduct a regression analysis of 1,918 Chinese listed firms from 2016 to 2020. A Fisher’s permutation test is used to examine the differences between state-owned and nonstate-owned firms.

Findings

Inefficient investment negatively impacts corporate performance and higher ESG performance exacerbates this effect by attracting more institutional research which reveals more problems. State-owned enterprises perform significantly better than nonstate-owned enterprises in terms of ESG transformation. Industrial R&D intensity, competition and regional marketization also mitigate the negative effects of inefficient investment on corporate performance.

Practical implications

This study suggests that companies should consider inefficient investments that arise from agency issues in corporate ESG transformation. In addition, state-owned enterprises in ESG transformation should take the lead to achieve sustainable development more efficiently. China should balance regional marketization, encourage enterprises to increase R&D intensity, reduce industry concentration, encourage healthy competition and prevent market monopolies.

Originality/value

This study combines the agency and stakeholder theories to reveal how inefficient investments that arise from agency issues inhibit value creation in ESG initiatives.

Details

Chinese Management Studies, vol. 19 no. 2
Type: Research Article
ISSN: 1750-614X

Keywords

Available. Open Access. Open Access
Article
Publication date: 22 February 2024

Marina Bagić Babac

Social media platforms are highly visible platforms, so politicians try to maximize their benefits from their use, especially during election campaigns. On the other side, people…

499

Abstract

Purpose

Social media platforms are highly visible platforms, so politicians try to maximize their benefits from their use, especially during election campaigns. On the other side, people express their views and sentiments toward politicians and political issues on social media, thus enabling them to observe their online political behavior. Therefore, this study aims to investigate user reactions on social media during the 2016 US presidential campaign to decide which candidate invoked stronger emotions on social media.

Design/methodology/approach

For testing the proposed hypotheses regarding emotional reactions to social media content during the 2016 presidential campaign, regression analysis was used to analyze a data set that consists of Trump’s 996 posts and Clinton’s 1,253 posts on Facebook. The proposed regression models are based on viral (likes, shares, comments) and emotional Facebook reactions (Angry, Haha, Sad, Surprise, Wow) as well as Russell’s valence, arousal, dominance (VAD) circumplex model for valence, arousal and dominance.

Findings

The results of regression analysis indicate how Facebook users felt about both presidential candidates. For Clinton’s page, both positive and negative content are equally liked, while Trump’s followers prefer funny and positive emotions. For both candidates, positive and negative content influences the number of comments. Trump’s followers mostly share positive content and the content that makes them angry, while Clinton’s followers share any content that does not make them angry. Based on VAD analysis, less dominant content, with high arousal and more positive emotions, is more liked on Trump’s page, where valence is a significant predictor for commenting and sharing. More positive content is more liked on Clinton’s page, where both positive and negative emotions with low arousal are correlated to commenting and sharing of posts.

Originality/value

Building on an empirical data set from Facebook, this study shows how differently the presidential candidates communicated on social media during the 2016 election campaign. According to the findings, Trump used a hard campaign strategy, while Clinton used a soft strategy.

Details

Global Knowledge, Memory and Communication, vol. 74 no. 11
Type: Research Article
ISSN: 2514-9342

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Article
Publication date: 18 February 2025

Premananda Meher and Rohita Kumar Mishra

The purpose of this study is to identify and analyze the key factors influencing stock market movements, using a multifactor hierarchical approach. By applying interpretive…

5

Abstract

Purpose

The purpose of this study is to identify and analyze the key factors influencing stock market movements, using a multifactor hierarchical approach. By applying interpretive structural modeling (ISM) and Matrice d’Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) techniques, this study aims to uncover the interrelationships between these factors and provide a clearer understanding of their role in shaping market dynamics, with practical implications for investors and policymakers.

Design/methodology/approach

This study uses ISM and MICMAC analysis to explore the hierarchical relationships among key factors driving stock market movements. A panel of 25 financial market experts was used to develop the structural self-interaction matrix, and ISM was applied to structure the relationships between these factors. MICMAC analysis categorized the factors based on their driving power and dependence. The combined use of ISM and MICMAC provides a structured and quantitative approach to understanding the complexities of stock market dynamics.

Findings

The research identifies behavioral biases, corporate governance, interest rates, global events, investor sentiment and market volatility as pivotal factors influencing stock market movements. The hierarchical ISM model reveals that behavioral biases strongly drive investor sentiment, while global events and interest rates heavily impact market volatility. The MICMAC analysis categorizes these variables into autonomous, dependent and independent factors, providing a nuanced understanding of their influence on stock prices.

Research limitations/implications

This study is limited by its reliance on expert judgments, which may introduce bias, and the sample size of 25 experts may not fully capture the diversity of financial market perspectives. In addition, the scope of the study is limited to generalized stock market factors, excluding regional or sector-specific analyses. These limitations affect the generalizability of the findings.

Practical implications

The findings of this research offer practical implications for investors, financial analysts and portfolio managers seeking to navigate the complexities of stock market behavior. By identifying key factors such as behavioral biases, corporate governance, currency fluctuations and regulatory changes, stakeholders can gain a deeper understanding of the dynamics driving stock prices. This structured approach can inform investment strategies, risk management practices and decision-making processes, enabling stakeholders to adapt to market fluctuations and make informed choices that align with their financial goals.

Social implications

This study’s exploration of factors influencing stock market movements carries social implications that extend beyond financial markets. Understanding how global events, political stability and regulatory changes impact stock prices can shed light on the broader socio-economic landscape. By recognizing the interplay between these factors and their influence on investment decisions, policymakers, regulators and society at large can gain insights into the interconnectedness of financial markets with social and political dynamics. This awareness can inform policy decisions, economic strategies and initiatives aimed at fostering market stability and sustainable economic growth.

Originality/value

By using ISM and expert judgment, this research developed a comprehensive model that unveils the key factors influencing stock market movements. This model can potentially be used to inform investment decision-making and improve investment strategies, providing a structured approach for stakeholders to analyze and adapt to the complexities of stock market behavior.

Details

Qualitative Research in Financial Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1755-4179

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Article
Publication date: 18 September 2023

Yousong Wang, Guolin Shi and Yangbing Zhang

Due to the close connection between urban cluster and carbon emissions (CEs) but a lack of study on it of the construction industry, this paper aims to explore the relationship…

229

Abstract

Purpose

Due to the close connection between urban cluster and carbon emissions (CEs) but a lack of study on it of the construction industry, this paper aims to explore the relationship between the polycentric spatial structure (PSS) of the urban clusters and CEs of the construction industry (CECI).

Design/methodology/approach

This research uses panel data of 10 Chinese urban clusters from 2006–2021, calculates their PSSs in the aspects of economy and employment and adopts a panel regression model to explore the effect of the spatiotemporal characteristics of the PSSs on the CECI.

Findings

First, the CECI in 10 Chinese urban clusters showed a rising trend in general, and the CECI in the Yangtze River Delta (YRD) was much higher than those in the rest of urban clusters. Second, both Shandong Peninsula (SP) and Guangdong-Fujian-Zhejiang (GFZ) exhibited high degrees of polycentric characteristics, while Beijing-Tianjin-Hebei (BTH) showed weaker degrees. Third, the results demonstrated that the polycentric development of urban clusters did not help reduce the CECI but rather promote the CE. The polycentric index, considering the linear distance from the main center to sub center, had a more significant impact on the CECI.

Originality/value

Previous studies have investigated the impact of urban spatial structure (USS) on CEs; however, few of them have studied in the field of construction industry. Moreover, most research of CEs have concentrated at the national and provincial levels, with fewer studies on urban clusters. This paper contributes to this knowledge by investigating how the PSS of urban cluster influence the CECI.

Details

Engineering, Construction and Architectural Management, vol. 32 no. 2
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 19 May 2023

Ayodeji Emmanuel Oke, John Aliu, Patricia Fadamiro, Prince Akanni, Paramjit Singh Jamir Singh and Mohamad Shaharudin Samsurijan

This study aims to identify and evaluate the key strategies to promote the implementation of automation techniques with reference to the Nigerian construction industry.

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Abstract

Purpose

This study aims to identify and evaluate the key strategies to promote the implementation of automation techniques with reference to the Nigerian construction industry.

Design/methodology/approach

Pragmatic philosophical thinking using a mixed-method approach (a combination of qualitative and quantitative) was adopted for this study. The qualitative strand of this research was achieved using a Delphi technique while a well-structured questionnaire conducted among 191 construction professionals was adopted to attain the quantitative strand. Obtained data were analyzed using frequencies, percentages, mean item scores, Kruskal–Wallis H test and exploratory factor analysis (FA).

Findings

Results revealed that the “provision of funding and subsidies for automation techniques” “mandatory automation policies and regulations,” “creating incentives for adoption,” “formulation of programs to promote awareness” and “deploying gamification to boost employee performance” were the top five strategies to promote the adoption of automation techniques. FA revealed four principal clusters, namely, awareness and publicity programs, government regulations and standards, provision of education and training and awards and recognition.

Practical implications

This study provided a solid theoretical and empirical foundation that can be useful to construction industry stakeholders, decision-makers, policymakers and the government in mapping out strategies to promote the incorporation and deployment of automation and robotics in the construction industry.

Originality/value

To the best of the authors’ knowledge, this study is one of the first in developing countries and Nigeria to establish an ordered grouping structure of the strategies to promote the adoption of automation techniques.

Details

Construction Innovation , vol. 25 no. 2
Type: Research Article
ISSN: 1471-4175

Keywords

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