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1 – 9 of 9Tory H. Hogan, Larry R. Hearld, Ganisher Davlyatov, Akbar Ghiasi, Jeff Szychowski and Robert Weech-Maldonado
High-quality nursing home (NH) care has long been a challenge within the United States. For decades, policymakers at the state and federal levels have adopted and implemented…
Abstract
High-quality nursing home (NH) care has long been a challenge within the United States. For decades, policymakers at the state and federal levels have adopted and implemented regulations to target critical components of NH care outcomes. Simultaneously, our delivery system continues to change the role of NHs in patient care. For example, more acute patients are cared for in NHs, and the Center for Medicare and Medicaid Services (CMS) has implemented value payment programs targeting NH settings. As a part of these growing pressures from the broader healthcare delivery system, the culture-change movement has emerged among NHs over the past two decades, prompting NHs to embody more person-centered care as well as promote settings which resemble someone's home, as opposed to institutionalized healthcare settings.
Researchers have linked culture change to high-quality outcomes and the ability to adapt and respond to the ever-changing pressures brought on by changes in our regulatory and delivery system. Making enduring culture change within organizations has long been a challenge and focus in NHs. Despite research suggesting that culture-change initiatives that promote greater resident-centered care are associated with several desirable patient outcomes, their adoption and implementation by NHs are resource intensive, and research has shown that NHs with high percentages of low-income residents are especially challenged to adopt these initiatives.
This chapter takes a novel approach to examine factors that impact the adoption of culture-change initiatives by assessing knowledge management and the role of knowledge management activities in promoting the adoption of innovative care delivery models among under-resourced NHs throughout the United States. Using primary data from a survey of NH administrators, we conducted logistic regression models to assess the relationship between knowledge management and the adoption of a culture-change initiative as well as whether these relationships were moderated by leadership and staffing stability. Our study found that NHs were more likely to adopt a culture-change initiative when they had more robust knowledge management activities. Moreover, knowledge management activities were particularly effective at promoting adoption in NHs that struggle with leadership and nursing staff instability. Our findings support the notion that knowledge management activities can help NHs acquire and mobilize informational resources to support the adoption of care delivery innovations, thus highlighting opportunities to more effectively target efforts to stimulate the adoption and spread of these initiatives.
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The purpose of this paper is to illustrate the growing role of robots in the logistics industry.
Abstract
Purpose
The purpose of this paper is to illustrate the growing role of robots in the logistics industry.
Design/methodology/approach
Following an introduction, which identifies key challenges facing the industry, this paper discusses robotic applications in warehouses, followed by sections covering transportation and delivery and conclusions.
Findings
The logistics industry faces a number of challenges that drive technological and operational changes. Robots are already playing a role within the warehouse sector and more complex applications have recently arisen from developments in artificial intelligence-enabled vision technology. In the transportation sector, autonomous trucks are being developed and trialled by leading manufacturers. Many major logistics companies are involved and limited services are underway. Last-mile delivery applications are growing rapidly, and trials, pilot schemes and commercial services are underway in Europe, the USA and the Far East. The Chinese market is particularly buoyant, and in 2019, a delivery robot was launched that operates on public roads, based on Level-4 autonomous driving technology. The drone delivery sector has been slower to develop, in part due to regulatory constraints, but services are now being operated by drone manufacturers, retailers and logistics providers.
Originality/value
This paper provides details of existing and future applications of robots in the logistics industry.
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Hajer Chenini and Anis Jarboui
A separate study of the different behavioral biases does not allow for a full understanding of the complexity and stability of the heterogeneity of beliefs. Therefore, through a…
Abstract
Purpose
A separate study of the different behavioral biases does not allow for a full understanding of the complexity and stability of the heterogeneity of beliefs. Therefore, through a more global view of these anomalies, the authors wish to show that they can converge on a single concept, which is the heterogeneity of beliefs.
Design/methodology/approach
It is therefore essential to stress that the importance of this study is mainly reflected in the methodological approach used in the construction and analysis of the map and not only in the results achieved. This contribution states that structural analysis, as a means of building the cognitive map, can facilitate the task of investors and other decision-makers, in the identification and analysis of the heterogeneity of beliefs that can therefore guide investors' strategy in decision-making.
Findings
The authors have studied the behavior of the investor and its way of interpreting the information and the authors have emphasized the value of studying the concept of heterogeneity of beliefs in its complexity. So that part of the work seems to be relevant and crucial to filling, if you will, that void. In this sense, the authors have shown that behavioral abnormalities are multidimensional concepts: “self-deception”, “cognitive bias”, “emotional bias” and “social bias”.
Originality/value
In particular, this article will aim to achieve the objective of proposing a model for measuring the heterogeneity of beliefs. Thus, the authors want to show that the heterogeneity of beliefs can be measured directly through the different behavioral anomalies.
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The purpose of this study is to assess the presence of deceptive advertising practices in wine retailers’ e-mails and, if identified, to analyze the extent and content of these…
Abstract
Purpose
The purpose of this study is to assess the presence of deceptive advertising practices in wine retailers’ e-mails and, if identified, to analyze the extent and content of these deceptive advertisements.
Design/methodology/approach
The study follows an observational research design to examine the accuracy of two claims that were made in 258 marketing e-mails from two major wine retailers in New Jersey, USA: (1) that all wines have 90+ scores; and (2) that these wines are offered at a deeply discounted price.
Findings
The study found that only 3.9% of cases accurately supported both major claims made: the wines having 90+ scores and being offered at a discounted price. Both claims were inaccurate in 64.7% of cases. Nearly half (49.3%) of the advertised wines had concealed critic’s scores below 90 points. Recipients were told they could save 37.2% by purchasing from the advertising retailer, but they could have actually saved 12.7% more by buying the wines elsewhere.
Research limitations/implications
The study’s limitations include the small sample size. Variations between different wine retailers and their advertising practices require further investigation.
Practical implications
Advertised discounts and scores may be inaccurate or incomplete, causing consumer confusion and disappointment, erosion of wine advertisements’ as well as wine retailers’ and wine experts’ credibility.
Social implications
Deceptive advertising can erode consumer trust and lead to unfair practices. Consumers may make purchasing decisions based on misleading information. Deceptive practices create an uneven playing field, giving businesses that engage in them an unfair advantage, hindering market transparency and ethical businesses. Policymakers should develop regulations to protect consumers and ensure fair competition.
Originality/value
An investigation of deceptive advertising practices in the wine industry has not been done before. This exploratory study contributes to consumer awareness and highlights the importance of truthful and transparent marketing practices.
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Alex Tawse, Leanne Atwater, Dusya Vera and Steve Werner
Strategy implementation is a critical component of firm performance and middle managers play a key role in the implementation process. This study was conducted to enhance the…
Abstract
Purpose
Strategy implementation is a critical component of firm performance and middle managers play a key role in the implementation process. This study was conducted to enhance the authors’ understanding of how middle managers influence strategy implementation (SI) effectiveness by investigating the impact of leadership and work team coordination.
Design/methodology/approach
A field study was conducted using interviews and survey data gathered from executive managers, middle managers and work team members within a large municipal organization undergoing a major strategic change.
Findings
Middle manager transformational and instrumental leadership have a direct positive impact on work team SI effectiveness. Additionally, middle manager transformational leadership has an indirect positive effect on work team SI effectiveness through coordination.
Practical implications
The study offers insights into managers and practitioners seeking to improve SI effectiveness by highlighting the importance of middle manager leadership development and the coordination of interdependent tasks within work teams.
Originality/value
The study provides valuable insight into an important but previously unstudied relationship between middle manager leadership and SI effectiveness. The work also helps bridge the chasm between leadership research and strategy research by linking leadership behavior to SI effectiveness – a key ingredient of firm performance.
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This study aims to propose and develop a new digital collaborative supply chain (CSC) model completely based on the emerging Industry 4.0 technologies. The digital model aims to…
Abstract
Purpose
This study aims to propose and develop a new digital collaborative supply chain (CSC) model completely based on the emerging Industry 4.0 technologies. The digital model aims to support the main factors likely to affect CSC. This proposed model combines the most well-known digital tools such as blockchain technology, Internet of Things (IoT) and cloud computing (CC).
Design/methodology/approach
Motivated by its effective solution to enhance trust, traceability, transparency and minimize costs and risks, the combination of the most well-known digital tools such as blockchain technology, IoT and CC to develop a new digital CSC model is addressed in this research. This study first investigates and conducts a deep review analysis that explores how Industry 4.0 technologies can enable collaboration mechanisms. Second, based on an analysis of literature review, the main factors likely to affect CSC have been identified and analysed. Finally, the authors combine digital tools to support the identified factors to enhance transparency, traceability and trust by proposing a new digital CSC model. This proposed model will be used as a referential guide to encourage and motivate SC actors to collaborate in digital CSC.
Findings
This work provides many important contributions to theory and practice. First, role and impacts of the most well-known digital tools such as blockchain technology, IoT and CC for digitizing CSC have separately presented and developed. Second, the authors conceptualized a framework by developing a new digital CSC model. This conceptual digital model can be used as a referential guide for all SC actors in order to motivate them to collaborate in a modern, intelligent, secure and reliable SC. It can also support all factors affecting CSC.
Originality/value
The originality of this study is first investigating separately the roles and impacts of each digital tool on CSC performance. Second, the authors combine the most well-known digital tools such as blockchain technology, IoT and CC in order to develop an efficient, smart, modern and new digital CSC model. In this combination, CC is used as platform as a service enabling to link and connect the blockchain and IoT to support the main factors affecting CSC. Unlike to digital CSC model with only one digital tool, the proposed model is more realistic since depending on the information to be shared with other actors, the most appropriate tool will be automatically detected and used. This solution offers a large choice to SC actors for real time data and information sharing. In addition, the proposed model will largely enhance traceability, transparency and trust in CSC.
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Pushpesh Pant, Pradeep Rathore, Krishna kumar Dadsena and Bhaskar Shandilya
This study examines the performance effect of working capital for a large sample of Indian manufacturing firms in light of supply chain disruption, i.e. the COVID-19 pandemic.
Abstract
Purpose
This study examines the performance effect of working capital for a large sample of Indian manufacturing firms in light of supply chain disruption, i.e. the COVID-19 pandemic.
Design/methodology/approach
This study is based on secondary data collected from the Prowess database on Indian manufacturing firms listed on the Bombay Stock Exchange (BSE) 500. Panel data regression analyses are used to estimate all models. Moreover, this study has employed robust standard errors to consider for heteroscedasticity concerns.
Findings
The results challenge the current notion of working capital investment and reveal that higher working capital has a positive and significant impact on firm performance. Further, it highlights that Indian manufacturing firms suffered financially post-COVID-19 as they significantly lack the working capital to run day-to-day operations.
Originality/value
This research contributes to the scant literature by examining the association between working capital financing and firm performance in light of the COVID-19 pandemic, representing typical developing economies like India.
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Rahul Govind, Nitika Garg and Lemuria Carter
This study aims to examine the role of hope and hate in political leaders’ messages in influencing liberals versus conservatives’ social-distancing behavior during the COVID-19…
Abstract
Purpose
This study aims to examine the role of hope and hate in political leaders’ messages in influencing liberals versus conservatives’ social-distancing behavior during the COVID-19 pandemic. Given the increasing political partisanship across the world today, using the appropriate message framing has important implications for social and public policy.
Design/methodology/approach
The authors use two Natural Language Processing (NLP) methods – a pretrained package (HateSonar) and a classifier built to implement our supervised neural network-based model architecture using RoBERTa – to analyze 61,466 tweets by each US state’s governor and two senators with the goal of examining the association between message factors invoking hate and hope and increased or decreased social distancing from March to May 2020. The authors examine individuals’ social-distancing behaviors (the amount of nonessential driving undertaken) using data from 3,047 US counties between March 13 and May 31, 2020, as reported by Google COVID-19 Community Mobility Reports and the New York Times repository of COVID-19 data.
Findings
The results show that for conservative state leaders, the use of hate increases nonessential driving of state residents. However, when these leaders use hope in their speech, nonessential driving of state residents decreases. For liberal state leaders, the use of hate displays a directionally different result as compared to their conservative counterparts.
Research limitations/implications
Amid the emergence of new analytic techniques and novel data sources, the findings demonstrate that the use of global positioning systems data and social media analysis can provide valuable and precise insights into individual behavior. They also contribute to the literature on political ideology and emotion by demonstrating the use of specific emotion appeals in targeting specific consumer segments based on their political ideology.
Practical implications
The findings have significant implications for policymakers and public health officials regarding the importance of considering partisanship when developing and implementing public health policies. As partisanship continues to increase, applying the appropriate emotion appeal in messages will become increasingly crucial. The findings can help marketers and policymakers develop more effective social marketing campaigns by tailoring specific appeals given the political identity of the consumer.
Originality/value
Using Neural NLP methods, this study identifies the specific factors linking social media messaging from political leaders and increased compliance with health directives in a partisan population.
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