Rosemary Vito and Bharati Sethi
The lived paid work experiences of two women (a European Canadian-born and a South Asian immigrant) demonstrate how low-quality leader–member exchanges and poor diversity…
Abstract
Purpose
The lived paid work experiences of two women (a European Canadian-born and a South Asian immigrant) demonstrate how low-quality leader–member exchanges and poor diversity management negatively influence employees' health, job satisfaction and retention during a period of major organizational change.
Design/methodology/approach
This paper combined a narrative case study with auto ethnography to examine the lived paid work experiences of the two female authors and identify common patterns of meaning within the data.
Findings
The analysis of personalized accounts demonstrate the damaging results of a failed change management initiative when leaders did not follow an organizational change model and used an authoritarian leadership style. Further, the low-quality leader–member exchanges and poor diversity management reduced authors' feelings of inclusion and negatively impacted their emotional and physical health, job satisfaction, and retention.
Research limitations/implications
New knowledge gained about leader–member exchange and diversity management has implications not only for leaders, but also human service managers. The data represents the authors' two perspectives, constraining generalizability. Larger samples of employees' narratives from diverse cultural/work backgrounds would be valuable to inform organizational change.
Practical implications
The paper provides practical reasons for leadership training and skill development in change management models.
Social implications
Given global demographic diversity, the findings are relevant to organizations, highlighting the importance of creating a climate of inclusion for workers' job satisfaction and retention and organizational success.
Originality/value
While the sample size (n = 2) is very small, using a combination of personal experience methods offered insights into the complexity of leader–member exchange and diversity management from workers' perspectives, and went beyond successful cases, adding value to organizational change research.
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Souraya Sidani, Melissa Northwood, Bharati Sethi, Zhixi Cecilia Zhuang and Konain Edhi
The stay-at-home orders were necessary to contain the spread of COVID-19 but have worsened social isolation and loneliness among older persons. Strategies to maintain social…
Abstract
Purpose
The stay-at-home orders were necessary to contain the spread of COVID-19 but have worsened social isolation and loneliness among older persons. Strategies to maintain social connections have been proposed. It is unclear if the reported experiences of social isolation and loneliness are comparable for older immigrants and if the proposed strategies are relevant to this vulnerable population. This study aimed to address this knowledge gap.
Design/methodology/approach
This scoping review addressed two questions: What evidence exists on the experience of social isolation and loneliness in older immigrants? What strategies can be beneficial to keep older immigrants socially connected during the COVID-19 pandemic? The search for relevant articles was done in several databases covering the scientific and gray literature, using keywords that reflect the diversity of terminology referring to the main concepts (isolation and loneliness) and target population (older immigrants). Discussion papers and research studies were reviewed, and the main points or findings were documented on data abstraction forms and summarized in a table. The information in the table was compared and contrasted to identify common themes.
Findings
Only six articles (four discussion papers and two studies) met the scoping review’s eligibility criteria. Concerns about interruptions of older immigrants’ social connection during the pandemic were partially corroborated with the studies’ results. Most participants shifted the medium of their contacts from in-person to telephone or social media, and perceived no change in the experience of loneliness. Those with high levels of loneliness reported heightened anxiety and depression. The proposed strategies entailed the use of technology to connect with others and to deliver services, outdoor group activities within the constraints of containment measures and provision of culturally tailored social programs or services.
Research limitations/implications
The acceptability, feasibility and effectiveness of the proposed strategies should be examined to determine the best practices aimed to promote social connection among older immigrants within and outside the context of the pandemic.
Originality/value
The scoping review identified strategies that can be used to address social isolation and loneliness among older immigrants during the pandemic.
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Bharati Sethi, Allison Williams and Rachelle Ireson
There is a growing recognition that when employees who are caregivers lack the organizational support/resources to manage their paid work with care responsibilities, it could…
Abstract
Purpose
There is a growing recognition that when employees who are caregivers lack the organizational support/resources to manage their paid work with care responsibilities, it could result in poor job performance, increase absenteeism, and have an impact on their well-being. Very little is known about managers’ perceptions in supporting their employees through workplace initiatives such as caregiver-friendly workplace policies (CFWPs). The purpose of this paper is: to examine managers’ experience(s) with employees that are engaged in formal paid care and informal care; to explore availability of CFWPs; and to explore managers’ standpoints on offering CFWPs to support their employees.
Design/methodology/approach
The authors draw on the findings from semi-structured qualitative interviews with 20 (n=20) managers working in the health care sector in an urban-rural region in Ontario, Canada.
Findings
Intersectionality analysis of participant interviews revealed three key themes: managers’ experiences with employees who are caregivers; knowledge and availability of CFWPs; and balancing business care with staff care.
Practical implications
Data were drawn from health care sectors in one community in Ontario, Canada and may not generalize to other settings. The small sample size and purposive sampling further limits the generalizability of the findings.
Social implications
Study findings can be applied to develop workplace policies and procedures that are responsive to workers who are providing unpaid care.
Originality/value
This study contributes to limited literature on manager’s perspectives in supporting employees through CFWPs.
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Hera Khan, Ayush Srivastav and Amit Kumar Mishra
A detailed description will be provided of all the classification algorithms that have been widely used in the domain of medical science. The foundation will be laid by giving a…
Abstract
A detailed description will be provided of all the classification algorithms that have been widely used in the domain of medical science. The foundation will be laid by giving a comprehensive overview pertaining to the background and history of the classification algorithms. This will be followed by an extensive discussion regarding various techniques of classification algorithm in machine learning (ML) hence concluding with their relevant applications in data analysis in medical science and health care. To begin with, the initials of this chapter will deal with the basic fundamentals required for a profound understanding of the classification techniques in ML which will comprise of the underlying differences between Unsupervised and Supervised Learning followed by the basic terminologies of classification and its history. Further, it will include the types of classification algorithms ranging from linear classifiers like Logistic Regression, Naïve Bayes to Nearest Neighbour, Support Vector Machine, Tree-based Classifiers, and Neural Networks, and their respective mathematics. Ensemble algorithms such as Majority Voting, Boosting, Bagging, Stacking will also be discussed at great length along with their relevant applications. Furthermore, this chapter will also incorporate comprehensive elucidation regarding the areas of application of such classification algorithms in the field of biomedicine and health care and their contribution to decision-making systems and predictive analysis. To conclude, this chapter will devote highly in the field of research and development as it will provide a thorough insight to the classification algorithms and their relevant applications used in the cases of the healthcare development sector.
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Tawseef Ayoub Shaikh and Rashid Ali
Tremendous measure of data lakes with the exponential mounting rate is produced by the present healthcare sector. The information from differing sources like electronic wellbeing…
Abstract
Tremendous measure of data lakes with the exponential mounting rate is produced by the present healthcare sector. The information from differing sources like electronic wellbeing record, clinical information, streaming information from sensors, biomedical image data, biomedical signal information, lab data, and so on brand it substantial as well as mind-boggling as far as changing information positions, which have stressed the abilities of prevailing regular database frameworks in terms of scalability, storage of unstructured data, concurrency, and cost. Big data solutions step in the picture by harnessing these colossal, assorted, and multipart data indexes to accomplish progressively important and learned patterns. The reconciliation of multimodal information seeking after removing the relationship among the unstructured information types is a hotly debated issue these days. Big data energizes in triumphing the bits of knowledge from these immense expanses of information. Big data is a term which is required to take care of the issues of volume, velocity, and variety generally seated in the medicinal services data. This work plans to exhibit a survey of the writing of big data arrangements in the medicinal services part, the potential changes, challenges, and accessible stages and philosophies to execute enormous information investigation in the healthcare sector. The work categories the big healthcare data (BHD) applications in five broad categories, followed by a prolific review of each sphere, and also offers some practical available real-life applications of BHD solutions.
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Yuanzhu Zhan, Kim Hua Tan, Leanne Chung, Lujie Chen and Xinjie Xing
The main purpose of this paper is to investigate how social media can provide important platforms to facilitate organisational learning and innovation in new product development…
Abstract
Purpose
The main purpose of this paper is to investigate how social media can provide important platforms to facilitate organisational learning and innovation in new product development (NPD) process.
Design/methodology/approach
Using a multiple case-study approach, this study assesses qualitative data collected via 56 interviews from 13 world-leading Chinese companies in the high-technology industry.
Findings
The study identified three distinct types of organisational learning mechanisms for firms to extract potential innovation inherent in social media. It further determined various organisational enablers that facilitate the connections between these mechanisms and NPD performance.
Research limitations/implications
This research contributes to the emerging literature on digital product development and organisational learning. The cases were conducted in the Chinese context, hence, the results may not be fully generalisable to other organisations, industries and countries without appropriate re-contextualisation.
Practical implications
The empirical evidence showcases the various mechanisms adopted by managers in different NPD phases. It identifies several technological and organisational adaptations that managers can apply to smartly scale their social presence and facilitate NPD.
Originality/value
Despite the exponential growth of social media use in identifying and interacting with external stakeholders, managerial practice and academic research have paid little attention to how social media can be leveraged for NPD. The value of this research comes from applying a qualitative method to gain in-depth insights into the mechanisms for leveraging social media to facilitate innovation in NPD.
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Fatemeh Sajjadian, Mirahmad Amirshahi, Neda Abdolvand, Bahman Hajipour and Shib Sankar Sana
This study aims to endeavor to shed light on the underlying causal mechanisms behind the failure of startups by examining the failure process in such organizations. To achieve…
Abstract
Purpose
This study aims to endeavor to shed light on the underlying causal mechanisms behind the failure of startups by examining the failure process in such organizations. To achieve this goal, the study conducted a comprehensive review of the literature on the definition of failure and its various dimensions, resulting in the compilation of a comprehensive list of causes of startup failure. Subsequently, the failure process was analyzed using a behavioral strategy approach that encompasses rationality, plasticity and shaping, as well as the growth approach of startups based on dialectic, teleology and evolution theories.
Design/methodology/approach
The proposed research methodology was a case study using process tracing, with the sample being a failed platform in the ride-hailing technology sector. The causal mechanism was further explicated through the combined application of the behavioral strategy approach and interpretive structural modeling analysis.
Findings
The findings of the study suggest that the failure of startups is a result of interlinked causes and effects, and growth in these organizations is driven by dialectic, teleology and evolution theories.
Originality/value
The outcomes of the research can assist startups in formulating an effective strategy to deliver the right value proposition to the market, thereby reducing the chances of failure.
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This research lies in the domain of Vedic mathematics, and it explores the application of the related Vedic sutras in different branches of mathematics, science, education, and…
Abstract
Purpose
This research lies in the domain of Vedic mathematics, and it explores the application of the related Vedic sutras in different branches of mathematics, science, education, and engineering across Asia and Europe.
Design/methodology/approach
The study embraced a qualitative research design followed by a systematic literature review (SLR) approach which describes the significance of Vedic mathematics. The study made use of purposive sampling through which the data were collected from 102 articles by using inclusion and exclusion criteria. It includes publication years, the types of research methods, and uses of Vedic mathematics sutras in different branches of knowledge stated by the researchers. Its goal is to offer a more thorough explanation and an evaluation of how the inquiry affected the conclusions. The articles examined in this review included all the journal articles and doctoral theses from the databases of Google Scholar, Science Direct, Scopus, and Sodhganga which were published during the period 2010–2022.
Findings
The research found that the application of the sutras of Vedic mathematics has been increasing immensely in India. The researchers in this area are fond of qualitative research methods. This research has shown that sutras of Vedic mathematics especially “Urdhvatiryakbhyam” and “Nikhilam Navatascaramana Dasastah” have been frequently used in mathematics and engineering in technical higher education. The impact of other sutras has been quite useful, which augments that in many disciplines where the applications of Vedic mathematics are prevalent, it can be functional. The study concludes by reprising the result, its limitations, and the use of Vedic mathematics as a sustainable source of knowledge.
Research limitations/implications
Vedic mathematics is an area where a lot of potential applications are created in science, mathematics, engineering, and education. Even with the latest technological advancements like learning analytics, artificial intelligence has its connection with this branch of learning, which is the greatest treasure of the Indian knowledge system. The research in this area is not reported in any databases or any standard format so researchers find it difficult to locate and study this broad conceptual domain.
Practical implications
It will help the reader and other academic stakeholders to widen their view on the new and innovative techniques of Vedic mathematics. It is advised that additional studies would look at and evaluate papers published after this time so that readers may get a wider view of the concept of Vedic mathematics.
Social implications
It will help society to know the essence of Vedic mathematics that how useful it is. Vedic mathematics helps learners to learn in a very factual and accurate manner especially while dealing with mathematical calculations. It will enhance the problem-solving skills among learners. It will be beneficial for all types of learners which will help them to become better individuals for a nation.
Originality/value
The paper enriches understanding of the potential applications of different sutras from Vedic literature in different fields of knowledge. The outcome of the research encourages educationists and policymakers to include Vedic mathematics in the curriculum to foster quantitative reasoning and problem-solving at varied levels of learning.
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The 12th South Asian Games were held in India in Guawhati and Shillong in February 2016, after repeated rescheduling. There were a number of challenges to organizing the games…
Abstract
The 12th South Asian Games were held in India in Guawhati and Shillong in February 2016, after repeated rescheduling. There were a number of challenges to organizing the games such as lack of infrastructure, legacy of corruption from past games, shortage of time etc. However, the games were held within 90 days of the announcement of venues and final dates. Sri Yadav, the Secretary, Department of Sports wants to understand the key drivers of success behind organizing the event. He also wants to understand how the success of Indian athletes at SAG could be leveraged for success at larger events.
Details
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