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A perceived uniqueness of real estate (RE) projects has led to a view among RE practitioners that since no two RE projects are the same, they must all follow their own unique set of processes. Further, local exigencies often result in the very processes agreed at the beginning of every project being changed, thereby making projects unpredictable for delivery within time and budget, or to the standards of quality expected. Maintaining the need to follow pre-defined standard processes in RE operations, the purpose of this paper is to focus on two converging tracks: the first track studies available sector-level competitiveness frameworks appropriate for RE to formulate RE sector objectives; and the second track retains the process standardisation perspective to comprehensively identify a set of factors that influence the defined sector objectives.

The research methodology adopted comprises, respectively, for the two tracks, a focussed literature review and semi-structured interviews with 30 Indian RE sector practitioners working at levels of consequence, supported by qualitative interpretive analysis. As a sustained development requires all stakeholders to have their concerns addressed, this research leads to the formulation of four sector objectives, one for each stakeholder group identified. Furthermore, two sets of factors (inhibiting and enabling) are deduced from stakeholder interviews reinforced by secondary literature as those that would influence the realisation of the objectives from the standpoint of processes and their standardisation.

It is thought that factors identified here will inform actionable strategies for a transformation to the long-elusive process and standards-based delivery in the Indian RE sector. Such strategies will not only lead to the next spate of improvements from innovative processes and standards thereof but will also equip RE players with the wherewithal to successfully engage globally.

This work extends the earlier research to shift from a function to process orientation in RE and bridges research gaps in each of the tracks mentioned above: the articulation of RE sector objectives, and identification of factors influencing the objectives.

Despite widespread adoption of business process reengineering (BPR) for better delivery efficiency of public services, a structured approach continues to elude the most value-adding phase of BPR: business process redesign. From another viewpoint, the rising currency of Whole-of-Government (WoG) and “shared services” initiatives signal an unmissable trend toward resource reuse across public service agencies (PSAs) through business process standardization (BPS). This research invokes BPS into process redesign to produce a process redesign framework (PRF) and deploys the same to build a standard process model (SPM) for services of the government of Albania (GoA).

The methodology follows the design science research (DSR) paradigm, wherein best practices extracted from literature are synthesized with stakeholder inputs to design the PRF and SPM, both of which are then evaluated with case study research.

Adoption of PRF/SPM on a WoG basis will not only reduce service lead time but also enable a variety of public services to share the same process, thereby further saving costs for GoA. The research outputs will accelerate reengineering and subsequent digitalization of public service operations.

Implementing SPM will maximize resource reuse and help offer uniform and integrated public services to GoA's customers. It will also enable demand-driven staff mobilization across GoA agencies. The proposed PRF/SPM have limitations in that they consider only flow aspects of service processes with aspects of conversion being ignored.

This research fulfills the need for a systematic approach to process redesign and prepares GoA for a WoG treatment to its BPR efforts.

There is limited research on the mental health of pregnant women in prison in England, mother and baby unit (MBU) applications and associated factors. Eighty-five pregnant women were interviewed in eight different prisons in England, UK. Schedules for the Clinical Assessment of Neuropsychiatry (SCAN) and Edinburgh Postnatal Depression Scale (EPDS) were used to assess mental health; Severity of Dependence Questionnaire (SOD-Q) for drug misuse; Alcohol Use Identification Test (AUDIT) for hazardous drinking and the Structured Clinical Interview for DSM-IV (SCID-II) to identify personality disorder. About 51% of participants had depression and 57% had anxiety. Those with prior social services involvement, diagnosis of personality disorder or history of suicidality were less likely to be admitted to MBUs. The high levels of depression and anxiety can have negative impacts on both the mother and her unborn child. Factors which influence MBU admission suggest those who might benefit most from MBU placement are least likely to be admitted. Other countries offer feasible alternatives to imprisonment for pregnant women and mothers which could be implemented in England.

The “war for talent” is not limited to developed economies but has become a common feature in emerging economies such as India. From the sociocultural perspective, India represents one of the oldest cultural heritages with distinct cultural values. The cultural difference may contribute to explain organizational practices toward talent retention. In the present chapter, the authors focus on the institutional, legal, and cultural context and highlight their uniqueness with respect to the Indian context. Within the institutional context, the authors found that prior to liberalization (which happened in 1990s), the Indian business scene was dominated by public firms or a small enclave of private firms. For both types of organization, turnover hardly mattered, and turnover was indeed negligible. Employees saw firms as “employers for life”: in such a context, voluntary turnover was extremely rare. Further, in the early legal context, it was hard for any private firm to “fire” an employee. Therefore, involuntary turnover was close to nil as well. Things began to change post-liberalization when the Indian scene was dominated by an influx of private players. The Indian mind too accepted turnover to be a part of the corporate life. In the present chapter, the authors provide a snapshot of what, why, and how of employee turnover in the Indian context. The authors specifically focus on what motivates employees to remain with the organization or why do they leave the organization. The authors close the chapter with insights relevant to both academicians and practitioners.

Sentiment analysis has observed a nascent interest over the past decade in the field of social media analytics. With major advances in the volume, rationality and veracity of social networking data, the misunderstanding, uncertainty and inaccuracy within the data have multiplied. In the textual data, the location of sarcasm is a challenging task. It is a different way of expressing sentiments, in which people write or says something different than what they actually intended to. So, the researchers are showing interest to develop various techniques for the detection of sarcasm in the texts to boost the performance of sentiment analysis. This paper aims to overview the sentiment analysis, sarcasm and related work for sarcasm detection. Further, this paper provides training to health-care professionals to make the decision on the patient’s sentiments.

This paper has compared the performance of five different classifiers – support vector machine, naïve Bayes classifier, decision tree classifier, AdaBoost classifier and K-nearest neighbour on the Twitter data set.

This paper has observed that naïve Bayes has performed the best having the highest accuracy of 61.18%, and decision tree performed the worst with an accuracy of 54.27%. Accuracy of AdaBoost, K-nearest neighbour and support vector machine measured were 56.13%, 54.81% and 59.55%, respectively.

This research work is original.

Despite consumers' widespread use of social media platforms, there is scant research on the underlying factors that influence their willingness to share digital footprints on social media. The purpose of this study is to address this research gap by examining consumers' cognitive and affective attitudes simultaneously.

This research used quantitative method by using online survey administered to a sample of 733 social media users.

The findings indicate both cognitive and affective attitudes jointly influence consumers' behavioural intentions with trust as a key construct mediating the relationship between attitudinal antecedents and consumers' willingness to share digital footprints on social media.

This study contributes to the information systems (IS) literature by offering a comprehensive framework constituting the joint attitudinal components as antecedents to consumers' behavioural intention for sharing digital footprints while trust works as a mediator.

This paper has important managerial implications. It helps marketers and IS managers in profiling consumers, understanding consumption patterns, sharing of digital footprints, which are useful for effective market segmentation, product development and future design of social media platforms. It informs social media providers of the importance of not only focussing on functional aspects but also underscores the essence of paying attention to consumers' affect towards social media platforms, especially trust.

The paper presents an original framework that explains the influence of joint attitudinal components on behavioural intention, with trust as a mediator.

The purpose of this paper is to understand the factors influencing the adoption decision of patients towards digital consultation in India with gender as a moderating variable. This study is based on the unified theory of acceptance and use of technology (UTAUT2) framework for examining the factors influencing adoption decisions for digital consultation and to what extent this leads to continuous usage intention.

Based on the UTAUT2 framework, this study proposed a set of hypotheses that were tested using structural equation modeling. This study was based on primary data collected from 462 sample respondents using the judgemental sampling method who had experience of using digital health consultation in India.

Findings of this study revealed significant and positive causation in the behavioural intention (BI) of a patient to adopt digital health consultation arising out of performance expectancy, effort expectancy, social influence, facilitating condition and price value; however, habit is insignificantly associated with the same. Furthermore, the results of this study also revealed that the BI of a patient towards digital health consultation is significantly moderated by their gender.

This study conceptually strengthens the present body of literature on the adoption behaviour by contributing certain new dimensions in the context of digital health consultations and will also help policymakers and service providers in crafting their strategy for promoting the adoption of digital health consultation.

This research explores the factors that influence patients' willingness to seek digital health advice in developing countries like India by extending the unified theory of acceptance and use of technology (UTAUT) with perceived risk (PR) and trust.

Structural equation modeling (SEM) was used to test the hypotheses proposed for this study. The primary data for this study were acquired from 578 respondents using a judgmental sampling procedure.

Results of this investigation reflected a positive and significant connexion of the intention of a patient towards e-health consultation with effort expectancy (EE), performance expectancy (PE), trust and social influence (SI); conversely, factors like facilitating condition (FC) and PR are not significantly connected with the same.

The findings of this study will not only add to the existing literature on the behavioral intention (BI) by introducing new dimensions in the context of digital health consultation, but they will also aid service providers in developing strategies to encourage the use of e-health consultation services in emerging economies such as India.