scholarly journals Longitudinal estimation of stress-related states through bio-sensor data

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vadym Mozgovoy
Keyword(s):  
Conceptual Framework ◽  
Convergent Validity ◽  
Well Being ◽  
Gaussian Mixture ◽  
Computer Applications ◽  
Cluster Models ◽  
Sensor Data ◽  
Content Type ◽  
Four Blocks ◽  
Specific Reactions

PurposeThe authors aim to develop a conceptual framework for longitudinal estimation of stress-related states in the wild (IW), based on the machine learning (ML) algorithms that use physiological and non-physiological bio-sensor data.Design/methodology/approachThe authors propose a conceptual framework for longitudinal estimation of stress-related states consisting of four blocks: (1) identification; (2) validation; (3) measurement and (4) visualization. The authors implement each step of the proposed conceptual framework, using the example of Gaussian mixture model (GMM) and K-means algorithm. These ML algorithms are trained on the data of 18 workers from the public administration sector who wore biometric devices for about two months.FindingsThe authors confirm the convergent validity of a proposed conceptual framework IW. Empirical data analysis suggests that two-cluster models achieve five-fold cross-validation accuracy exceeding 70% in identifying stress. Coefficient of accuracy decreases for three-cluster models achieving around 45%. The authors conclude that identification models may serve to derive longitudinal stress-related measures.Research limitations/implicationsProposed conceptual framework may guide researchers in creating validated stress-related indicators. At the same time, physiological sensing of stress through identification models is limited because of subject-specific reactions to stressors.Practical implicationsLongitudinal indicators on stress allow estimation of long-term impact coming from external environment on stress-related states. Such stress-related indicators can become an integral part of mobile/web/computer applications supporting stress management programs.Social implicationsTimely identification of excessive stress may improve individual well-being and prevent development stress-related diseases.Originality/valueThe study develops a novel conceptual framework for longitudinal estimation of stress-related states using physiological and non-physiological bio-sensor data, given that scientific knowledge on validated longitudinal indicators of stress is in emergent state.

Routine Clustering of Mobile Sensor Data Facilitates Psychotic Relapse Prediction in Schizophrenia Patients (Preprint)

2021 ◽  
Author(s):  
Joanne Zhou ◽  
Bishal Lamichhane ◽  
Dror Ben-Zeev ◽  
Andrew Campbell ◽  
Akane Sano
Keyword(s):  
Prediction Models ◽  
Gaussian Mixture ◽  
Mobile Sensing ◽  
Cluster Models ◽  
Sensor Data ◽  
Sensing Data ◽  
Model Based ◽  
Clustering Model ◽  
Relapse Prediction ◽  
Lower Variability

BACKGROUND Behavioral representations obtained from mobile sensing data could be helpful for the prediction of an oncoming psychotic relapse in schizophrenia patients and delivery of timely interventions to mitigate such relapse. OBJECTIVE In this work, we aim to develop clustering models to obtain behavioral representations from continuous multimodal mobile sensing data towards relapse prediction tasks. The identified clusters could represent different routine behavioral trends related to daily living of patients as well as atypical behavioral trends associated with impending relapse. METHODS We used the mobile sensing data obtained in the CrossCheck project for our analysis. Continuous data from six different mobile sensing-based modalities (e.g. ambient light, sound/conversation, acceleration etc.) obtained from a total of 63 schizophrenia patients, each monitored for up to a year, were used for the clustering models and relapse prediction evaluation. Two clustering models, Gaussian Mixture Model (GMM) and Partition Around Medoids (PAM), were used to obtain behavioral representations from the mobile sensing data. These models have different notions of similarity between behaviors as represented by the mobile sensing data and thus provide differing behavioral characterizations. The features obtained from the clustering models were used to train and evaluate a personalized relapse prediction model using Balanced Random Forest. The personalization was done by identifying optimal features for a given patient based on a personalization subset consisting of other patients who are of similar age. RESULTS The clusters identified using the GMM and PAM models were found to represent different behavioral patterns (such as clusters representing sedentary days, active but with low communications days, etc.). While GMM based models better characterized routine behaviors by discovering dense clusters with low cluster spread, some other identified clusters had a larger cluster spread likely indicating heterogeneous behavioral characterizations. PAM model based clusters on the other hand had lower variability of cluster spread, indicating more homogeneous behavioral characterization in the obtained clusters. Significant changes near the relapse periods were seen in the obtained behavioral representation features from the clustering models. The clustering model based features, together with other features characterizing the mobile sensing data, resulted in an F2 score of 0.24 for the relapse prediction task in a leave-one-patient-out evaluation setting. This obtained F2 score is significantly higher than a random classification baseline with an average F2 score of 0.042. CONCLUSIONS Mobile sensing can capture behavioral trends using different sensing modalities. Clustering of the daily mobile sensing data may help discover routine as well as atypical behavioral trends. In this work, we used GMM and PAM-based cluster models to obtain behavioral trends in schizophrenia patients. The features derived from the cluster models were found to be predictive for detecting an oncoming psychotic relapse. Such relapse prediction models can be helpful to enable timely interventions.

scholarly journals Transformative service research: a conceptual framework based on consumer's perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Veronica Ungaro ◽  
Laura Di Pietro ◽  
Maria Francesca Renzi ◽  
Roberta Guglielmetti Mugion ◽  
Maria Giovina Pasca
Keyword(s):  
Conceptual Framework ◽  
Well Being ◽  
Service Research ◽  
Future Research ◽  
Bottom Line ◽  
Content Type ◽  
Consumer Perspective ◽  
Social Environmental ◽  
The Relationship ◽  
Depth Interviews

PurposeThis study aims to investigate the consumer's perspective regarding the relationship between services and well-being, contributing to the knowledge base in transformative service research (TSR). More specifically the aim was to understand consumers' perceptions of the relationship between services and well-being and their views about how companies can contribute (directly and/or indirectly) to achieve the well-being.Design/methodology/approachTo reach the research aim, the study adopts an explorative inductive design, carried out through a qualitative approach and grounded in 30 in-depth interviews with consumers.FindingsService sustainability represents the fundamental characteristic that determines the service ability to be transformative, requiring the implementation of the triple bottom line dimensions: social, environmental and economic. It emerged that, in the consumer's mind, the service categories that present a stronger relationship between service and well-being are as follows: healthcare, financial and transport.Originality/valueThe paper proposes a conceptual framework to describe the consumer perspective of the services' transformative role in promoting well-being, providing a theoretical lens for conducting future research and continuing to expand transformative service research (TSR).

scholarly journals The influence of social distancing on employee well-being: a conceptual framework and research agenda

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sven Tuzovic ◽  
Sertan Kabadayi
Keyword(s):  
Conceptual Framework ◽  
Research Agenda ◽  
Well Being ◽  
Subjective Well Being ◽  
Content Type ◽  
Theoretical Concepts ◽  
Social Distancing ◽  
Starting Point ◽  
Service Continuity ◽  
The Impact

PurposeThe ongoing pandemic caused by the coronavirus disease 2019 (COVID-19) virus has severely influenced lives and livelihoods. As service organizations either face hibernation or continuity of their business operations, the impact of social distancing measures raises major concerns for the well-being of service employees. In this paper, the authors develop a conceptual framework to examine how different social distancing practices impact an organization's service continuity or service hibernation, which in turn affects different dimensions of their employee subjective well-being during the COVID-19 pandemic.Design/methodology/approachThe authors draw on macroeconomic data and industrial reports, linking them to theoretical concepts to develop a conceptual framework and a research agenda to serve as a starting point to fully understand the impact of this pandemic on employee well-being.FindingsThis article develops an overarching framework and research agenda to investigate the impact of social distancing practices on employee well-being.Originality/valueThe authors propose two opposing business concepts – service continuity and service hibernation – as possible responses to social distancing measures. By bridging different theoretical domains, the authors suggeste that there is a need to holistically examine macro-, meso- and micro-level factors to fully understand the impact of social distancing–related measures on employee well-being.

Service ecosystem well-being: conceptualization and implications for theory and practice

2019 ◽  
Vol 53 (12) ◽  
pp. 2657-2691 ◽  
Author(s):  
Pennie Frow ◽  
Janet R. McColl-Kennedy ◽  
Adrian Payne ◽  
Rahul Govind
Keyword(s):  
Conceptual Framework ◽  
Healthcare Setting ◽  
Well Being ◽  
Theory And Practice ◽  
Content Type ◽  
Meso Level ◽  
Service Outcomes ◽  
Service Ecosystems ◽  
Service Ecosystem ◽  
Logic Resource

Purpose This paper aims to conceptualize and characterize service ecosystems, addressing calls for research on this important and under-researched topic. Design/methodology/approach The authors draw on four meta-theoretical foundations of S-D logic – resource integration, resource density, practices and institutions – providing a new integrated conceptual framework of ecosystem well-being. They then apply this conceptualization in the context of a complex healthcare setting, exploring the characteristics of ecosystem well-being at the meso level. Findings This study provides an integrated conceptual framework to explicate the nature and structure of well-being in a complex service ecosystem; identifies six key characteristics of ecosystem well-being; illustrates service ecosystem well-being in a specific healthcare context, zooming in on the meso level of the ecosystem and noting the importance of embedding a shared worldview; provides practical guidance for managers and policy makers about how to manage complex service ecosystems in their quest for improving service outcomes; and offers an insightful research agenda. Research limitations/implications This research focuses on service ecosystems with an illustration in one healthcare context, suggesting additional studies that explore other industry contexts. Practical implications Practically, the study indicates the imperative for managing across mutually adapting levels of the ecosystem, identifying specific new practices that can improve service outcomes. Social implications Examining well-being in the context of a complex service ecosystem is critical for policymakers charged with difficult decisions about balancing the demands of different levels and actors in a systemic world. Originality/value The study is the first to conceptualize and characterize well-being in a service ecosystem, providing unique insights and identifying six specific characteristics of well-being.

Hierarchy of customer goals: conceptual framework and new insights

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zahra Tabaei Aghdaei ◽  
Janet R. McColl-Kennedy ◽  
Leonard V. Coote
Keyword(s):  
Conceptual Framework ◽  
Goal Setting ◽  
Concept Maps ◽  
World View ◽  
Action Plan ◽  
Well Being ◽  
Life Goals ◽  
Subjective Well Being ◽  
Prevention Focus ◽  
Content Type

PurposeThe purpose of this paper is to: (1) better understand the structure (hierarchy) of customer goals providing conceptual clarity; and (2) propose a hierarchy of customer goals conceptual framework that explicates how healthcare customer goals are linked to drivers and outcomes, thus building theory and informing practice.Design/methodology/approachThe research draws on 21 in-depth interviews of patients with a chronic disease. Drawing principally on construal-level theory and using manual thematic analysis and Leximancer, this article provides new insights into customer goals.FindingsIn a first, the authors identify a two-dimensional structure for each of the three main goal types, which previously had been viewed as unidimensional. The authors develop a conceptual framework linking drivers of goal setting (promotion/prevention focus world view and perceived role) with goal type (life goals, focal goals and action plan goals and their respective subgoals) and outcomes (four forms of subjective well-being). Visual concept maps illustrate the relative importance of certain health-related goals over others.Research limitations/implicationsThe usefulness of the authors’ conceptual framework is demonstrated through the application of their framework to goal setting among healthcare customers, showing links between the structure of goals (life goals, focal goals and action plan goals) to drivers (promotion/prevention focus world view and perceived role) and outcomes (subjective well-being) and the framework's potential application to other service settings.Originality/valueThis study contributes to healthcare marketing and service management literature by providing new insights into goal setting and proposing a novel hierarchy of customer goals conceptual framework linking drivers, goal types and outcomes.

Well-being as a staged social responsibility process for business and society

2019 ◽  
Vol 15 (1) ◽  
pp. 75-89 ◽  
Author(s):  
Lance Richard Newey
Keyword(s):  
Conceptual Framework ◽  
Design Methodology ◽  
Critical Mass ◽  
Well Being ◽  
Business And Society ◽  
Empirical Relationships ◽  
Content Type ◽  
Whole Process ◽  
Dialectical Process ◽  
Practical Implications

PurposeThis paper aims to conceptualize how business and society co-evolve their efforts to maximizing the greatest well-being of the greatest number following a conscious-unconscious, staged, dialectical process.Design/methodology/approachThis study used a conceptual framework linking eight components of well-being (economic, environmental, social, cultural, psychological, spiritual, material and physical), with stages of consciousness and the co-evolution of business and society.FindingsStages of consciousness – traditionalist, modernist, post-modernist and integral – moderate both the pace and direction with which business and society co-evolve to the greatest well-being of the greatest number across eight components of well-being.Research limitations/implicationsThis is a conceptual framework which integrates existing empirical relationships, but the overall framework itself is yet to be empirically tested.Practical implicationsThe whole process of maximizing well-being can become more conscious for both business and society. This requires making unconscious components conscious and becoming conscious of the inseparability of the eight components of well-being as a counter-balanced set.Social implicationsBusinesses and societies can maximize well-being across eight inseparable components. But implementing this is a staged process requiring progressing populations through stages of consciousness. Earlier stages lay the platform for a critical mass of people able to integrate the eight components.Originality/valueKnowledge of well-being is dominated by disciplinary disconnection and bivariate studies; yet, current meta-crises and calls for post-conventional leaders indicate the importance of an integrated multidisciplinary well-being model which explains past efforts of business and society, diagnoses current problems and points towards more viable paths.

Defining inclusionary intelligence: a conceptual framework with a constructivist perspective

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aykut Berber
Keyword(s):  
Conceptual Framework ◽  
Social Constructivism ◽  
Well Being ◽  
Future Research ◽  
Work Setting ◽  
Development Effort ◽  
Content Type ◽  
Managing Diversity ◽  
Constructivist Perspective ◽  
The Individual

Purpose The purpose of this paper is to examine inclusion as subjectively created knowledge individuals generate through their interactions within a social environment. The main purpose is to introduce an inclusion-related conceptualisation of intelligence by means of which an individual evaluates, understands and engages in action in a work-setting in order to achieve efficient outcomes while feeling belonged and unique in a work-setting. Design/methodology/approach Aiming at explaining a phenomenon and building a conceptual framework from the subjective perspective of a particular individual at work, such as a team member, the philosophical assumption embedded in this paper is social constructivism. Findings A substantive conclusion drawn in this paper is the importance of an individual’s personal resources, such as optimism, resilience, self-efficacy and positive psychology, to evaluate situational conditions, and take necessary actions, which in turn determines how included that individual feels in a work-setting. Moreover, dyadic interactions are also substantial, and one-to-one communication in every dyad is essential for the “co-construction” of an individual’s inclusion. Research limitations/implications A scale development effort to explore and validate a construct for inclusionary intelligence and its domains can be suggested for future research. Practical implications While management literature, in general, lays much emphasis on managing diversity in team and organisations, this paper puts stress on the perspective of the individual at work. Originality/value The paper elaborates on the nature of inclusion with a social constructivist paradigm and approaches inclusion as a feeling, an experience, a subjective interpretation of one’s own position in a work-setting and an important predictor of one’s job satisfaction and well-being at work.

Evaluating the outcomes of service ecosystems

2017 ◽  
Vol 29 (6) ◽  
pp. 834-846 ◽  
Author(s):  
Claudio Baccarani ◽  
Fabio Cassia
Keyword(s):  
Conceptual Framework ◽  
Design Methodology ◽  
Service Providers ◽  
Well Being ◽  
Resource Integration ◽  
Content Type ◽  
Service Ecosystems ◽  
The Creation ◽  
Service Ecosystem ◽  
Complex Relationships

Purpose The purpose of this paper is to understand how the resource integration processes that occur within service ecosystems affect both the well-being of the entire ecosystem and the well-being of specific focal actors (i.e. customers) in the ecosystem. Specifically, this paper considered cases in which customers’ well-being results from simultaneous participation in a multiplicity of service ecosystems. Design/methodology/approach An illustrative example, taken from the tourism context, was used to develop a conceptual framework (of which customers were the focal actors) to evaluate service ecosystem outcomes. Findings The results showed that the well-being of focal actors (i.e. customers) should be evaluated by considering the outcomes that arise in the interlocking service ecosystems in which the customers simultaneously participate. Further, in relation to these interlocking service ecosystems, high levels of well-being within a single ecosystem did not necessarily cause focal actors to experience high levels of well-being. Research limitations/implications To ensure the creation of positive customer experiences, the co-creating actors (e.g. the service providers) must first identify each of the interlocking service ecosystems in which customers simultaneously participate and then establish interactions with other relevant actors. Originality/value By considering the complex relationships between the well-being of a service ecosystem as a whole and the well-being of specific focal actors (e.g. customers) in an ecosystem, this study advances knowledge about evaluations on the performance of service ecosystems.

scholarly journals Life enrichment for workers in contemporary China

2018 ◽  
Vol 31 (1) ◽  
pp. 173-187 ◽  
Author(s):  
Yang Zhao ◽  
Yuka Fujimoto ◽  
Sanjaya Singh Gaur
Keyword(s):  
Conceptual Framework ◽  
Well Being ◽  
Chinese Family ◽  
Cultural Perspective ◽  
Content Type ◽  
Corporate Leaders ◽  
Cultural Perspectives ◽  
Whole Person ◽  
Chinese Workers ◽  
Work Family

Purpose The purpose of this paper is to identify key antecedents of work-family enrichment (WFE) for Chinese workers in China. The paper adopts the Chinese cultural perspectives (i.e. philosophy of Confucian: Chinese family orientation and collectivism) as well as traditional Chinese philosophies of life as a whole. Design/methodology/approach This is a conceptual paper. Therefore, this section does not apply. Findings The key antecedents of Chinese WFE have been identified and presented in the conceptual framework. Testable propositions have also been developed and presented in this paper. Practical implications The conceptual framework showing the identified key antecedents of Chinese WFE highlights the necessity for the corporate leaders to rethink the ways to promote well-being and productivity of Chinese workforce in China. Meanwhile, managers should rethink about WFE among Chinese employees and regard employees as a whole person rather than just a worker with certain skills or abilities. Originality/value This is the first paper to propose the concept of life enrichment by examining the antecedents of WFE particularly from the Chinese philosophical and cultural perspective.

Overcoming destructive deviance: propositioning an integrated conceptual framework

2019 ◽  
Vol 27 (4) ◽  
pp. 1148-1167 ◽  
Author(s):  
Pooja Malik ◽  
Usha Lenka
Keyword(s):  
Conceptual Framework ◽  
Positive Emotions ◽  
Negative Impact ◽  
Well Being ◽  
Organizational Level ◽  
Content Type ◽  
Negative Behaviors ◽  
The Past ◽  
Health And Well Being ◽  
Practical Implications

Purpose This study aims to provide a review of antecedents of destructive deviance and classify them into three levels, namely, personal, interpersonal and organizational level in the proposed integrated conceptual framework. Furthermore, it proposes three levels of interventions to prevent or modify destructive deviance. Design/methodology/approach Systematic literature review of the past 23 years was carried out for the current study to identify the antecedents of destructive deviance. Findings This study proposes an integrated conceptual framework incorporating three levels of antecedents and interventions for overcoming destructive deviance. Findings classified the antecedents of destructive deviance into three categories, namely, personal, interpersonal and organizational level variables. Similarly, the proposed interventions were classified into three levels, namely, individual (employee resilience, mindfulness), interpersonal (mentoring, peer support) and organizational-level interventions (talent management, internal corporate communication) that organizations should concentrate on to reduce destructive deviance and facilitate health and well-being of employees. Practical implications This study posits three-level interventions to reduce or transform negative characteristics and overcome the negative impact of interpersonal and organizational level antecedents on destructive deviance among employees. The suggested three-level interventions not only reduce the negative characteristics and transform negative behaviors but also lay a significant pavement for fostering positive emotions among employees. Originality/value This study classifies the antecedents of destructive deviance into three categories, namely, personal, interpersonal and organizational-level antecedents. Further, this study offers three-level interventions for overcoming destructive deviance among employees.

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