G.S. Thyagaraju and U.P. Kulkarni
The purpose of this paper is to propose an intelligent service recommendation model. The paper formulates the service adaptation process by using artificial intelligence…
Abstract
Purpose
The purpose of this paper is to propose an intelligent service recommendation model. The paper formulates the service adaptation process by using artificial intelligence techniques like Bayesian Network, fuzzy logic and rule based reasoning.
Design/methodology/approach
The authors formulate the service adaptation process by using artificial intelligence techniques like Bayesian Network, fuzzy logic and rule based reasoning. Bayesian Network is used to classify the incoming call (high priority call, low priority call and unknown calls), fuzzy linguistic variables and membership degrees to define the context situations, the rules for adopting the policies of implementing a service, fitness degree computation and service recommendation. In addition to this the paper proposes maximum to minimum priority based context attributes matching algorithm for rule selection based on fitness degree of rules. The context aware mobile is tested for library and class room scenario to exemplify the proposed service recommendation engine and demonstrate its effectiveness.
Findings
First, it was found that there was reduction in application searching time in different contexts. For example, if user enters into the library, the proposed mobile will be adapted to the library situation automatically by configuring its desktop and internal settings to facilitate the library services like book search, web link, silent mode and friends search. Second, the design of the recommendation engine, utilizing contextual parameters like Location (class room, college campus, house, etc.) Personal (age, name), Temporal (time, date), Physical (fall, normal), and schedule agendas, was found to be of importance.
Originality/value
Exploitation of hybrid fuzzy system, Bayesian Networks and the utility theory (usage history and context history) for modeling and implementation.
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P. H. Thyagaraju, Karuna Jain and R. B. Grover
This study aims to identify an empirical process model and to delineate success factors (both success-enabling factors and success-inhibiting factors) and special insights useful…
Abstract
Purpose
This study aims to identify an empirical process model and to delineate success factors (both success-enabling factors and success-inhibiting factors) and special insights useful for managerial interventions for the transfer of spin-off technologies from a public-funded mission-oriented research organization (PMRO) dealing with nuclear technologies in India.
Design/methodology/approach
Empirical qualitative case study research was conducted on purposively selected five real-life cases by semistructured interviews with the actors involved in tech-transfers from the PMRO. Within-case content analyses were carried out as per grounded theory. The emerging subprocesses were mapped into a conceptual theoretical model preconstructed based on a literature review. Success factors and special insights were identified by reflecting upon the results of analyses. Cross-case analysis was carried out to yield organization-wide findings.
Findings
Organization-wide process model of tech-transfers, success factors and special insights emerged from five cases of technology transfer cases from a PMRO of India.
Research limitations/implications
A limitation stems from the inevitable subjectivity due to considerable presence of human element, and qualitative methods used to study a limited number of cases. However, purposive sampling of cases and traceability of evidence built into the procedure of content analysis largely allay this limitation.
Practical implications
The findings of this research would be useful to practitioners such as scientists, tech-transfer officers, executives of transferee firms and the policymakers of the PMROs for taking well-informed decisions.
Originality/value
Original research was carried out by eliciting field information from the actors of real-life cases. Two of the authors being affiliated with the PMRO makes the research realistic.
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Jennifer M. Reingle Gonzalez, Katelyn K. Jetelina, Stephen A. Bishopp, Melvin D. Livingston, Rodolfo A. Perez and Kelley Pettee Gabriel
Law enforcement officers (LEOs) suffer from premature mortality, intentional and unintentional injury, suicide and are at an increased risk for several non-communicable disease…
Abstract
Purpose
Law enforcement officers (LEOs) suffer from premature mortality, intentional and unintentional injury, suicide and are at an increased risk for several non-communicable disease outcomes including cardiovascular disease and several cancers, compared to those employed in other occupations. Repeated exposure to stressful and traumatic stimuli is a possible mechanism driving these adverse health outcomes among LEOs. To better identify the sources of these health problems, the purpose of this paper is to determine the feasibility of conducting a cohort study using physiological measures of stress (e.g. heart rate) with LEOs; perceptions of the FitBit device, including LEO buy-in and attitudes associated with the protocol.
Design/methodology/approach
Data were collected from ten recent graduates of the Dallas Police Training Academy.
Findings
Results suggest that officer buy-in and protocol compliance was high. Officers were eager to participate in this study, and completion of weekly surveys was 100 percent. Minute-level missing data from wearable devices was relatively low (25 percent), and 90 percent of participants wore the FitBit devices on more than 90 percent of study days.
Originality/value
Results from this study suggest that wearable physiological devices can be effectively used in law enforcement populations to measure stress.
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Arif Gulzar Hajam, Shahina Perween and Mushtaq Ahmad Malik
Tourism–economy relationship in India has been studied extensively in the past literature using a single equation approach. However, the present paper diverted from this trend and…
Abstract
Purpose
Tourism–economy relationship in India has been studied extensively in the past literature using a single equation approach. However, the present paper diverted from this trend and examined the tourism–economy relationship using the specific to general modelling approach over the 1990–2018 time period. The study also accounts for the influence of merchandise trade, capital formation, foreign investment inflows and inflation on economic growth to achieve the robustness of the coefficient estimates.
Design/methodology/approach
To achieve the objective, the study utilised a specific to general modelling strategy. First, the regression equation includes only three core variables: gross domestic product (GDP), international tourist receipts and international tourist expenditures. Next, the authors include other control variables in the regression equation one by one, leading us to test five model types for investigating the cointegration among the variables. As for the estimation technique, the authors employed autoregressive distributed lag (ARDL) approach.
Findings
The paper's findings highlight that tourism receipts and expenditures exert a positively significant impact on economic growth. Moreover, including the additional independent variables does not substantially change the tourism and economic growth relationship. The existence of one-way causality from tourism expenditures to economic growth supports the tourism-led growth hypothesis. These findings highlight the rationale for intervention by the government and policymakers to promote tourism potential and facilities to accelerate the overall growth performance of the country. While the existence of one-way causal effect from economic growth to tourism revenues supports the growth-led tourism development hypothesis, implying that economic expansion is necessary for tourism development.
Research limitations/implications
This research article tried to present a comprehensive picture of India's tourism–economy relationship. However, the present study is organised as an aggregate economy-level analysis. It assumed that the aggregate tourism sector is homogenous. However, different tourism sectors exert different levels of influence on the economy. The authors expect future research can take the disaggregated analysis of the tourism–economy relationship.
Practical implications
This study provides valuable insights into the tourism-led growth hypothesis in India. The study highlights comprehensive intervention by the government and policymakers for accelerating tourism development to invigorate the overall growth performance of the country over the long run. The principal recommendation emerging from the present research is that the tourism growth potential can be depended upon to stimulate the economic performance of the Indian economy.
Originality/value
The present study diverted from the previous empirical studies by following a specific to general modelling strategy. First, the regression model includes only three core variables such as economic growth, tourism receipts and tourism expenditure. Next, the authors include other control variables in the regression equation one by one, leading us to test five model types for investigating the cointegrating relationship among the variables. GDP growth rate is used as a dependent variable in all five specifications. The idea is to expand the model to capture every feature of the data generating process.
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Clauirton Siebra, Paulo Costa, Fabio Q.B. da Silva, André L.M. Santos and Angélica Mascaro
The set of services provided by the mobile phone platform, is becoming increasingly complex and requiring more computing power, hence higher energy consumption, and compromising…
Abstract
Purpose
The set of services provided by the mobile phone platform, is becoming increasingly complex and requiring more computing power, hence higher energy consumption, and compromising the autonomy of these devices. The purpose of this paper is to identify scenarios where methods could be applied to reduce such consumption and extend the mobile autonomy.
Design/methodology/approach
This mobile evolution has given rise to a lot of energy saving research activities, which mainly focus on the hardware side of computational systems. However, it is tempting to suppose that only hardware dissipates power, not software. This paper characterizes several hardware and software scenarios, which could be explored to develop energy‐efficient mobile techniques.
Findings
From this analysis, the authors argue that the development of applications that consider energy saving as one of their requirements, can result in a significant final energy saving because solutions will be part of their own software and they do not depend on external resources to obtain a lower consumption.
Originality/value
This paper provides a broad analysis about the different research directions in energy consumption optimization and stresses the important contributions that the software engineering area could offer to this subject.
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Drawing on the JD-R theory, this study investigates the effect of working from home on employee engagement and work-life balance considering work-life balance as the mediator in…
Abstract
Purpose
Drawing on the JD-R theory, this study investigates the effect of working from home on employee engagement and work-life balance considering work-life balance as the mediator in the working from home-employee engagement relationship and altruism as the moderator in the work-life balance-employee engagement relationship.
Design/methodology/approach
An online questionnaire using the snowball sampling approach was employed to collect data from 350 professional-level employees working from home due to the COVID-19 outbreak. Hypotheses were tested using structural equation modeling.
Findings
The findings indicate that work-life balance significantly affects employee engagement and confirm the moderating role of altruism in the relationship between work-life balance and employee engagement. However, work-life balance does not mediate the relationship between working from home and employee engagement.
Originality/value
These findings advanced JD-R theory in human resource management by focusing on a more humanistic and compassionate approach towards managing employees, particularly in the remote working context during turbulent times.
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Stephanie Bilderback and Matthew D. Kilpatrick
This paper aims to explore the impact of remote work on organizational culture, focusing on redefining workplace presence during the COVID-19 pandemic. It examines changes in…
Abstract
Purpose
This paper aims to explore the impact of remote work on organizational culture, focusing on redefining workplace presence during the COVID-19 pandemic. It examines changes in communication patterns, employee engagement and leadership practices, offering insights into how organizations can adapt their cultural frameworks for a remote or hybrid workforce.
Design/methodology/approach
Using a conceptual approach, this paper draws on existing literature, theories and case studies to analyze the implications of remote work for organizational culture. It examines the practical applications of theoretical frameworks such as Kotter's 8-Step Change Model, the Competing Values Framework, Social Exchange Theory, Role Theory, Self-Determination Theory and Equity Theory.
Findings
The findings indicate that the transition to remote work necessitates changes in communication patterns, collaboration, employee engagement and the sense of belonging. It also highlights the critical role of leadership in fostering a positive remote work culture, requiring organizations to adapt to a paradigm where presence is measured by engagement and productivity rather than physical visibility.
Originality/value
This paper contributes to understanding the impact of remote work on organizational culture by integrating various theoretical frameworks and providing practical implications for managing remote work environments. It comprehensively analyzes the challenges and opportunities the shift to remote work presents and provides recommendations for organizations to navigate this transition successfully.