Modeling the robotics implementation barriers for construction projects in developing countries

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayodeji Emmanuel Oke ◽  
Ahmed Farouk Kineber ◽  
Ibraheem Albukhari ◽  
Adeyemi James Dada
Keyword(s):  
Structural Equation ◽  
Construction Projects ◽  
Research Work ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Implementation Barriers ◽  
Content Type ◽  
Proposed Model ◽  
Solid Foundation

PurposeThe purpose of this paper is to evaluate the barriers militating against the adoption of robotics in the construction industry.Design/methodology/approachRobotics implementation barriers were obtained from the previous studies and then through questionnaire survey construction stakeholders in Nigeria evaluate these barriers. Consequently, these barriers were examined via the exploratory factor analysis (EFA) technique. Furthermore, a model of these barriers was implemented by means of a partial least square structural equation modeling (PLS-SEM).FindingsThe EFA results showed that these barriers could be categorized into two: cost and technology. Results obtained from the proposed model showed that platform tools were crucial tools for implementing cloud computing.Originality/valueThe novelty of this research work will be provided a solid foundation for critically assessing and appreciating the different barriers affecting the adoption of robotics.

Barriers to the implementation of cloud computing for sustainable construction in a developing economy

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayodeji Emmanuel Oke ◽  
Ahmed Farouk Kineber ◽  
Maged Abdel-Tawab ◽  
Abdurrahman Salihu Abubakar ◽  
Ibraheem Albukhari ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Structural Equation ◽  
Construction Projects ◽  
Research Work ◽  
Partial Least Square ◽  
Least Square ◽  
Sustainable Construction ◽  
Implementation Barriers ◽  
Content Type ◽  
Data Fragmentation

PurposeThe purpose of this paper is to investigate the applicability of cloud computing (CC) and the challenges that contribute to more successful projects with a major sustainable construction development.Design/methodology/approachThe previous studies provided information on CC implementation barriers, which were then evaluated by 104 construction stakeholders through a questionnaire survey. As a result, the exploratory factor analysis (EFA) approach was used to investigate these barriers. Furthermore, a partial least square structural equation model was used to build a model of these barriers (PLS-SEM).FindingsThe EFA results revealed that the above-noted factors are in a close relation with three key components, i.e. social, economic and communication. In addition, the proposed model results found the social barrier a key challenge to the implementation of CC.Research limitations/implicationsThe results from this study can help decision-makers to improve the approaches regarding data fragmentation that has great effects on the execution of all construction projects. The focus of the paper is to enhance the data fragmentation processes. In addition, the results would be useful to strengthen the sustainability of existing construction projects by enhancing the implementation of CC.Originality/valueThe novelty of this research work will provide a solid foundation for critically assessing and appreciating the different barriers affecting the adoption of CC.

scholarly journals Value management implementation barriers for sustainable building: a bibliometric analysis and partial least square structural equation modeling

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmed Farouk Kineber ◽  
Idris Othman ◽  
Ayodeji Emmanuel Oke ◽  
Nicholas Chileshe ◽  
Tarek Zayed
Keyword(s):  
Bibliometric Analysis ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Value Management ◽  
Implementation Barriers ◽  
Content Type

Purpose The purpose of this paper is to examine the relationship between overcoming the value management (VM) implementation barriers and VM implementation in the Egyptian building sector. Design/methodology/approach A critical review of the literature on VM was used to through bibliometric analysis has been conducted to highlight the studies’ gap and establish the VM barriers. These obstacles were then contextually transformed via a semi-structured interview and a pilot study, and subsequently organized in the form of a theoretical model. The primary data was collected from 335 building stakeholders in Egypt through the administration of questionnaire surveys. Consequently, structural equation models of partial least squares were applied to statistically assess the final model of VM barriers. Findings The bibliometric analysis shows that there is an inadequate study on VM implementation barriers in the Egyptian construction industry and insufficient studies on implementing VM in developing countries. Results obtained from the proposed model showed that overcoming the VM barriers has a major connection with successful VM implementation. This is indicated with the value of ß = 0.743, which is necessary when the firm is overcoming 1 unit of VM barriers. Originality/value This study fills the knowledge gap by identifying and emphasizing the critical obstacles to VM implementation.

Adoption of cloud computing tools for sustainable construction: a structural equation modelling approach

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayodeji Emmanuel Oke ◽  
Ahmed Farouk Kineber ◽  
Badr Alsolami ◽  
Chukwuma Kingsley
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Structural Equation ◽  
Construction Projects ◽  
Research Work ◽  
Partial Least Square ◽  
Least Square ◽  
Sustainable Construction ◽  
Content Type ◽  
Project Sustainability

Purpose The purpose of this paper is to assess the cloud computing (CC) methods and tools towards the achievement of construction project sustainability in Nigeria. Design/methodology/approach Data were obtained from the literature, complemented by a quantitative method using a questionnaire distributed among 104 respondents comprising mainly construction professionals in Nigeria. Subsequently, data were analysed using the exploratory factor analysis (EFA) method. In addition, the partial least square structural modelling was used to generate a model for the adoption of CC tools for sustainable construction. Findings EFA results indicated that the CC implementation tools could be categorised into four significant constructs: platform, communication, software and data storage. Results obtained from the model showed that platform tools were the most crucial tools for implementing CC in the construction industry. Practical implications The findings from this study are essential to the pursuit of perception of methods and tools connected to the vagueness of CC for future employees. In addition, the identified CC tools are expected to enhance the success of construction projects. Originality/value The novelty of this research work will be a benchmark or board for decision-makers to quality by adopting CC methods and tools in Nigeria’s construction projects to achieve their sustainable projects.

scholarly journals Application of Blockchain for Supply Chain Financing: Explaining the Drivers Using SEM

2021 ◽  
Vol 7 (3) ◽  
pp. 167
Author(s):  
Mohammad Rokibul Kabir ◽  
Md. Aminul Islam ◽  
Marniati ◽  
Herawati
Keyword(s):  
Supply Chain ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Research Work ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Innovation Research ◽  
Supply Chain Financing ◽  
The Impact

Owing to the lack of research in emerging Asian nations, this research aimed to unearth the determinants of blockchain acceptance for supply chain financing by a Bangladeshi financing company called IPDC. Centred on a technology acceptance framework called UTAUT (unified theory of acceptance and use of technology) and open innovation research, an expanded model with a mediating variable is developed for this study. This research work employs the deductive inference method in conjunction with the positivism paradigm. A structural questionnaire was used to gather data, which were then processed through Smart-PLS (partial least square) for SEM (structural equation modeling). The survey includes all the people who are directly or indirectly involved in the supply chain financing platform of IPDC. The study consists of seven direct hypotheses and one mediating hypothesis. The results show that all the direct hypotheses except the impact of social influence on the behavioural intention to use (BINTU) blockchain are significant. The mediating hypothesis indicating the role of BINTU in the relationship between facilitating conditions (FCON) and the actual use of blockchain is also supported. FCON and BINTU together explain 88.7% variation in blockchain use behaviour for supply chain financing. The research advances past findings by employing an expanded UTAUT framework and validating observations with the other relevant studies throughout the world.

From managing customers to joint venturing with customers: co-creating service value in the digital age

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christine Falkenreck ◽  
Ralf Wagner
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Business Models ◽  
Joint Venture ◽  
Digital Age ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type

Purpose Until today, scholars claim that the phenomenon of “co-creation” of value in an “interacted” economy and in the context of positive actor-to-actor relationships has not been adequately explored. This study aims to first to identify and separate the accessible values of internet of things (IoT)-based business models for business-to-business (B2B) and business-to-government (B2G) customer groups. It quantifies the drivers to successfully implement disruptive business models. Design/methodology/approach Data were gathered from 292 customers in Western Europe. The conceptual framework was tested using partial least square structural equation modeling. Findings Managing disruptions in the digital age is closely related to the fact that the existing trust in buyer-seller relationships is not enough to accept IoT projects. A company’s digitalization capabilities, satisfaction with the existing relationship and trust in the IoT credibility of the manufacturer drives the perceived value of IoT-based business models in B2B settings. Contrastingly, in B2G settings, money is less important. Research limitations/implications Research refers to one business field, the data set is of European origin only. Findings indicate that the drivers to engage in IoT-related projects differ significantly between the customer groups and therefore require different marketing management strategies. Saving time today is more important to B2G buyers than saving money. Practical implications The disparate nature of B2B and B2G buyers indicates that market segmentation and targeted marketing must be considered before joint-venturing in IoT business models. To joint venture supply chain partners co-creating value in the context of IoT-related business models, relationship management should be focused with buyers on the same footing, as active players and co-developers of a personalized experience in digital service projects. Originality/value Diverging from established studies focusing on the relationship within a network of actors, this study defines disruptive business models and identifies its drivers in B2B and B2G relationships. This study proposes joint venturing with B2B and B2G customers to overcome the perceived risk of these IoT-related business models. Including customers in platforms and networks may lead to the co-creation of value in joint IoT projects.

Abusive supervision, supervisor undermining, and turnover intentions: mediation of quiescent silence and desire to seek revenge among Thai banking frontliners

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gul Afshan ◽  
Muhammad Kashif ◽  
Damrong Sattayawaksakul ◽  
Pimpa Cheewaprakobkit ◽  
Shanika Wijenayake
Keyword(s):  
Organizational Behavior ◽  
Social Exchange ◽  
Structural Equation ◽  
Turnover Intentions ◽  
Abusive Supervision ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Trickle Down

Purpose Drawing on the social exchange theory, this study aims to investigate the destructive impact of abusive supervision and supervisor undermining on quiescent silence and turnover intentions among frontline employees. Whether quiescent silence and the desire to seek revenge mediate the path from aggressive supervisory behaviors to turnover intentions is explored. Design/methodology/approach Following a time-lagged design, the authors collected data from 350 frontline banking officers in Thailand by a survey. For data analysis purposes, structural equation modeling procedures are used through Smart partial least square version 3.2.0. Findings Uniquely, findings suggest that abusive supervision does not result in any form of retaliation. Supervisor undermining has a trickle-down effect on the desire to revenge, quiescent silence and turnover intentions. For supervisor undermining, the direct path, as well as mediating roles are supported by data. Practical implications The findings of this study suggests organizational systems should discourage supervisors from undermining the subordinates. There is a need to offer regular training to supervisors. Furthermore, employees should be provided some platforms and the freedom to positively speak at work. Above all, supervisors should be more inspiring which can dilute negative perceptions of abuse. Originality/value The proposed mediation of desire to revenge and quiescent silence is unique to this study. Moreover, the challenge to the traditional trickle-down effects of abusive supervision is a unique intervention in the organizational behavior literature.

Role of halal literacy and religiosity in buying intention of halal branded food products in India

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adil Khan ◽  
Mohd Yasir Arafat ◽  
Mohammad Khalid Azam
Keyword(s):  
Structural Equation ◽  
Research Work ◽  
Food Products ◽  
Partial Least Square ◽  
Least Square ◽  
Muslim Population ◽  
Content Type ◽  
Test Of Hypotheses ◽  
Halal Food ◽  
The Impact

Purpose This study aims to investigate the influence of religiosity (intrinsic and extrinsic) and halal literacy on the intention of Muslim consumers to purchase halal branded food products in India. An extended version of the theory of planned behaviour (TPB) was used as a framework. Apart from religiosity and halal literacy, the influence of attitude, social norms and perceived behavioural control of halal on buying intention were also tested. Design/methodology/approach The study uses a survey design. The data were collected from 350 individual respondents, using a closed-ended, structured questionnaire. The quality of the measurement model has been assessed through reliability testing, factor loading, average variance extracted and Fornell-Larcker criterion. The test of hypotheses was conducted by performing the partial least square structural equation modelling. Findings The result of hypotheses testing shows that both intrinsic and extrinsic types of religiosities did not have a direct influence on buying intention. However, religiosity (extrinsic and intrinsic) and halal literacy have significant relationships with most of the antecedents of the intention of the TPB. In addition, both kinds of religiosities (extrinsic and intrinsic) and halal literacy had a significant indirect effect (through TPB antecedents) on buying intention. Originality/value Muslim population in India is one of the largest in the world, yet there is a lack of popular halal branded food products in the market. Nevertheless, few researchers have attempted to study the consumer behaviour of the Muslim population for halal products in India. A large amount of research work on halal food behaviour is from countries such as Malaysia and Indonesia, where the Muslim population is in the majority and halal brands are already popular. Further, this paper studies the impact of dimensions of religiosity, which has been overlooked by researchers studying the halal food purchasing behaviour. The study also explores the impact of halal literacy, an understudied construct in halal marketing literature. The present study is amongst the earliest empirical research based on Muslim consumers in India on the topic of halal branded food products.

Forecasting the schedule performance resulting from the adoption of social distancing in construction projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hilary Omatule Onubi ◽  
Nor'Aini Yusof ◽  
Ahmad Sanusi Hassan ◽  
Ali Ahmed Salem Bahdad
Keyword(s):  
Construction Projects ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Social Distancing ◽  
Schedule Performance ◽  
The Impact ◽  
The Relationship ◽  
Positive Effect

PurposeThe coronavirus disease 2019 (COVID-19) pandemic has had major impacts on the performance of construction projects that have adopted social distancing measures. This study examines the effect of social distancing measures on project schedule performance through job reorganization on construction project sites.Design/methodology/approachResponses were obtained through a survey of 154 construction projects and analysed using the partial least square structural equation modeling (PLS-SEM) technique.FindingsThe findings established that social distancing has a negative effect on schedule performance, social distancing has a positive effect on job re-organization and job re-organization has a positive effect on schedule performance. Additionally, the results indicate that job re-organization partially mediates the relationship between social distancing and schedule performance, while social distancing moderates the relationship between job re-organization and schedule performance with low social distancing having the stronger positive effect.Originality/valueThis study contributes theoretically to a greater understanding of the impact of adopting COVID-19 safety measures such as social distancing on the schedule performance of construction projects. The study also shows how social distancing could lead to schedule performance through job reorganization.

scholarly journals Exploring the role of service quality, atmosphere and food for revisits in restaurants by using a e-mystery guest approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bernhard Fabian Bichler ◽  
Birgit Pikkemaat ◽  
Mike Peters
Keyword(s):  
Service Quality ◽  
Food Quality ◽  
Structural Equation ◽  
Tourism Industry ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Revisit Intention

PurposeQuality in foodservices has become essential, and new methodological ways of determining service quality enable a better representation of service processes and help to increase revisits. This paper focuses on the foodservice context and explores the relationship between staff-related service dimensions, atmosphere, food quality and revisit in a full-service setting.Design/methodology/approachThis study combines an often neglected mystery guest approach with partial least square–structural equation modeling (PLS-SEM) to shed more light on customers' service perceptions. The mystery guest approach has been updated with a digitally supported smartphone questionnaire (e-mystery) that provides more reliable results since previous measurements experienced difficulties of feasibility in time-limited settings (N = 247).FindingsThe findings of this study confirm the direct effects of the service quality dimensions reliability, attentiveness and atmosphere on revisit intention and highlight the mediating role of food quality. In detail, the findings showed significant results for service employees' reliability and attentiveness and underlined the role of atmosphere for revisit intention.Originality/valueThe contribution of this paper supplements that mystery guest approaches represent a reliable alternative to convenience sampling, especially in combination with a digitally supported questionnaire (e-mystery). Thereby, this paper suggests the further application of e-mystery for the hospitality and tourism industry. In terms of implications, this study highlights the importance of securing food quality by fostering specialized schools and training programs for career starters. Since the findings stress the importance of service quality and atmosphere, managers need to ensure that employees are trained in culturally sensitive communication and services to excel in service-related dimensions.

Outbound medical tourism experience, satisfaction and loyalty: lesson from a developing country

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md. Shahed Mahmud ◽  
Md. Mahbubar Rahman ◽  
Reshma Pervin Lima ◽  
Esmat Jahan Annie
Keyword(s):  
Structural Equation ◽  
Medical Tourism ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Snowball Sampling ◽  
Content Type ◽  
Destination Loyalty ◽  
Study Results ◽  
Tourism Experience

PurposeThe objective of the study is to measure outbound medical tourists' satisfaction and loyalty based on medical tourists' experience from a developing country's perspective.Design/methodology/approachThe medical tourists taken medical services from India constituted the population of this study. By applying a purposive and snowball sampling techniques, samples were selected. Based on the expectation confirmation theory (ECT) and a modified medical tourism experience model, this study empirically analyzed the research hypotheses by applying the partial least square–structural equation modeling (PLS–SEM) technique.FindingsThe empirical result revealed that the experience of service quality, medical tourism infrastructure and experience of medical tourism expenses has a direct impact on medical tourists' satisfaction. Furthermore, destination appeal and culture has a significant moderating effect on the relationship between medical tourists' satisfaction and destination loyalty. Multigroup analysis (MGA) was performed to examine group differences of the model. The MGA results revealed that, based on age, the research model remains undifferentiated between groups. In contrast, based on income, the only relationship, medical tourism infrastructure and medical tourists' satisfaction significantly differ between groups, while others remain identical from each other.Practical implicationsThe study results will contribute both theoretically and practically. Theoretically, the study will be a helpful instrument to figure out medical tourists' behavior through the lens of ECT in a developing country’s perspective. Furthermore, practically this study results will assist policymakers and practitioners of medical tourism in formulating strategies and making future decisions effectively.Originality/valueThe study has uniqueness in two aspects. First, the study empirically revealed Bangladeshi medical tourists' experience and behavioral intention to Indian medical tourism destinations. Second, the study’s findings exposed quantifiable insights into the Bangladesh–India medical tourism phenomenon.

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