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As a pillar of integrated digital delivery (IDD), building information modeling demonstrates the tremendous potential to enhance productivity for the architectural, engineering and construction (AEC) industry worldwide. However, the implementation of digital solutions presents numerous challenges related to its adoption and implementation. Distinguishing a comprehensive set of critical factors can facilitate the construction professionals to execute their strategies in a properly planned manner, thus augmenting the possibilities of successfully implementing BIM in their organization. This study aims to identify critical success factors (CSFs) for BIM adoption and implementation in Singapore.

This study adopted structured empirical questionnaire survey. Relevant data were collected from the various stakeholders in Singapore AEC industry through an online survey questionnaire. Furthermore, data analysis was done using SPSS Statistics software in order to identify the key factors (KFs) based on which the CSFs were derived for BIM adoption and implementation during the construction phase.

From a set of 45 influencing factors, 35 KFs were derived after performing ranking analysis, from which a set of 26 CSFs were finally obtained based on the factor analysis methodology.

This study has identified the CSFs of BIM adoption in Singapore, as well as in the builders' perspective on how to enhance the digitalization in construction projects.

The purpose of this paper is to examine the impact of CSR initiative of ITC Limited on the stakeholders especially impact on the learning outcome of primary school students. The research further attempts to discover the level of impact of CSR on learning outcomes.

The data were collected from the rural areas of Pune in the state of Maharashtra and Mysuru in the state of Karnataka in India. The total number of data collected was 227. The data were collected with the help of self-administered questionnaires via personal visits to the schools using systematic random sampling method. Parametric test, t-test is used to test research hypothesis. Multiple linear regression analysis is performed to identify which aspects have better contribution towards overall impact level of the CSR program.

The study results clearly underscore the impact of firm’s CSR activities on the stakeholders. The study findings suggest a significant impact of CSR on the stakeholder, primarily on the learning outcome of the primary school students.

The study offers a new insight for the CSR heads of companies who are planning and implementing CSR initiatives of companies for widespread impact on the stakeholders. This study addresses the concerns of business managers and CSR heads to prove the potential of CSR initiatives and the measurement of the value generated for the society through CSR interventions.

The previously conducted research works have explored the impact of CSR on financial performance, organizational stability, employee turnover, customer retention, etc. This study advances existing body of knowledge beyond developed western economies by exploring the value of CSR in India and its impact on the stakeholders. This study finds the impact of CSR initiative on learning outcome. The study makes a novel contribution by not only determining the impact of CSR on learning outcome but also by going a step further to unfurl the various underlying factors which contribute towards the overall impact.

Operations Management

MBA/Post Graduate

This case attempts to highlight a very common resource allocation dilemma in a real-life scenario. The majority of today’s problems are solved by the methodology of trial and error. This case shows how a generic trial-and-error solution, if buttressed by a proper quantitative methodology, can have substantial impact on the bottom-line of an organization. The case concentrates on three disparate focus areas in a didactic fashion, namely, the ability to retrieve raw data and convert it into a utilizable form if a quantitative method is to be applied; the ability to comprehend the resource constraints of a typical real-life situation; and the skill required to develop and solve an optimization problem in Excel Solver, a product which can easily be accessed by any practitioner.

Expected learning outcomes are as follows: students learn to formulate a Mixed-Integer programming model; to interpret optimal solutions and appreciate the application of “Optimization”; to recommend a resource allocation strategy; and to understand the importance of cost minimization in organizations.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS: 9: Operations and Logistics

This paper aims to optimize the quantum of aonla pulp that could be mixed with guava pulp to make a nutritional rich fruit bar. The developed fruit bar will not only help in the improvement of processing value of both Guava and underused but highly nutritional Aonla but also serve the purpose of improvement in nutritional status of consumers.

Response surface methodology (RSM) using Box–Behnken design was used with the process variables as aonla and guava pulp ratio, PR (30:70, 40:60, 50:50); pectin concentration, PC (0, 0.15, 0.30%); and drying temperature, DT (50, 60, 70°C) for optimization of process conditions. The prepared mixed fruit leather was evaluated for physico-chemical, textural and sensory properties such as titratable acidity (TA), ascorbic acid content (AA), L value (lightness), cutting force (CF), taste and overall acceptability (OAA).

Second-order regression models fitted for TA, AA, L value (lightness), CF, taste and OAA were highly significant (P = 0.01) with the coefficient of determination (R² = 0.85). The TA and AA of mixed fruit bar increased whereas L value, CF, taste and OAA decreased with increasing level of aonla pulp in the blend formulation. The optimum process conditions for mixed aonla-guava bar with desirable characteristics were 40:60 (PR), 0.02% (PC) and 56°C (DT). The corresponding optimum values of TA, AA, L value, CF, taste and OAA were 1.00%, 164 mg/100 g, 50, 5066 g, 7.83 and 7.92, respectively. The design formulation and data analysis using RSM validated the optimum solution.

This paper demonstrates that optimum blending of aonla and guava pulp has improved the overall nutritional characteristics and acceptability of the final product. This will not only help in reducing the associated post-harvest losses but also encourage the cultivators/local processing industries by stabilizing the price during glut sea.

Migrants have been posed with less familiarity in their new environment during COVID times, faced with various social, psychological and emotional traumas. Research indicates that they may have been originating from apprehension of being abandoned by their neighbours. Most of them were precarious with little wages, competing for their basic need fulfilment, putting them under more mental stress. Looking forward to the ancient principle, ‘Athithi Devo Bhavah’ (Visitors are Gods), and immediate response, measures were taken to promote community shelters and kitchens, maintaining social distancing and ensuring physical safety. The governments of different countries took proactive initiatives to study and assess their needs. The study here includes the cases being evaluated regarding migrants' need for surveillance and psycho-social support given by the government and non-profit associations during the pandemic at the global level. Remarkably, certain countries proved the working of their sustainable poverty reduction model by evaluating various factors. The study started by introducing who migrants were, diagnosing their problems faced during the pandemic, how Sustainable Development Goals can be implemented and various measures taken at government and institutional levels to protect the migrant workforce.

Excessive tool wear is responsible for damage or breakage of the tool, workpiece, or machining center. Thus, it is crucial to examine tool conditions during the machining process to improve its useful functional life and the surface quality of the final product. AI-based tool wear prediction techniques have proven to be effective in estimating the Remaining Useful Life (RUL) of the cutting tool. However, the model prediction needs improvement in terms of accuracy.

This paper represents a methodology of fusing a feature selection technique along with state-of-the-art deep learning models. The authors have used NASA milling data sets along with vibration signals for tool wear prediction and performance analysis in 15 different fault scenarios. Multiple steps are used for the feature selection and ranking. Different Long Short-Term Memory (LSTM) approaches are used to improve the overall prediction accuracy of the model for tool wear prediction. LSTM models' performance is evaluated using R-square, Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) parameters.

The R-square accuracy of the hybrid model is consistently high and has low MAE, MAPE and RMSE values. The average R-square score values for LSTM, Bidirection, Encoder–Decoder and Hybrid LSTM are 80.43, 84.74, 94.20 and 97.85%, respectively, and corresponding average MAPE values are 23.46, 22.200, 9.5739 and 6.2124%. The hybrid model shows high accuracy as compared to the remaining LSTM models.

The low variance, Spearman Correlation Coefficient and Random Forest Regression methods are used to select the most significant feature vectors for training the miscellaneous LSTM model versions and highlight the best approach. The selected features pass to different LSTM models like Bidirectional, Encoder–Decoder and Hybrid LSTM for tool wear prediction. The Hybrid LSTM approach shows a significant improvement in tool wear prediction.

Little is established about the mechanism through which employee voice is connected to employee mental health. Drawing from social exchange theory, this study examines how employee engagement practices are associated with employee voice, which further influences employee mental health. In addition, the study includes parallel mediation and examines whether perceived interpersonal justice (PIJ) and empathetic leadership (EL) mediate the relationship between employee engagement practices and employee voice.

Three time-lagged surveys of 457 employees in the Indian information technology (IT) sector were accomplished.

As hypothesised, employee engagement practices have a positive influence on employee voice. Secondly, employee voice has a positive influence on the employee’s mental health. PIJ and EL were also found to be significant parallel mediators for the relationship among employee engagement practices and employee voice.

This study displays the positive influence of employee engagement practices on employee voice. Further, the employee’s voice influences the employee’s mental health. Therefore, it suggests means for improving its pervasiveness in an organisation.

This research paper is an important contribution as it is one of the few studies examining the role of PIJ and EL as parallel mediators of employee engagement practices and employee voice. It also answers repeated calls for more research on employee mental health in the IT sector.

This study aims to analyze the effect of religiosity (RE), halal knowledge (HK) and halal certification (HC), attitudes, subjective norms and vaccine quality on the Muslim community’s intention to use halal vaccines in Indonesia.

This study involved 725 Muslim respondents in 32 Indonesian provinces. The model used was based on the theory of reasoned action development with the partial least squares structural equation modeling as the data processing tool.

The study discovered that RE, HK and HC did not affect the intention of Muslims to use halal vaccines. In addition, the MUI (Majelis Ulama Indonesia – Indonesia Council of Ulama) fatwa permitting the use of the AstraZeneca vaccine despite the haram ingredients was considered an excuse for Muslims to administer non-halal vaccines. However, several parties disagreed on the fatwa because the emergency legal standing for its permissibility did not apply to all regions. The reason was that each had different rates of confirmed cases, ranging from high-risk areas to those with zero confirmed Covid-19 cases.

This study examines the Muslim community’s intention toward using halal vaccines in several regions in Indonesia. In addition, this study conducted in-depth interviews as samples in several regions. This study also conducted interviews to determine the public’s views on government obligation about the Covid-19 vaccine. Finally, this study proposes a vaccine to avoid the possibility of controversy over the use of non-halal vaccines.