The purpose of this study is to investigate how the internet of things (IoT) contributes to manufacturers' advanced services development and delivery. To better understand…
The purpose of this study is to investigate how the internet of things (IoT) contributes to manufacturers' advanced services development and delivery. To better understand the creation of these IoT contributions, the study adopts a socio-technical research perspective, which expands the scope of the investigation and integrates the technological, information and social factors that enable these IoT contributions.
A multiple-case research method was employed to investigate the IoT contribution scenarios of 15 manufacturers who offer advanced services and to examine their dependence on other non-IoT factors, using thematic analysis.
The analysis identified five advanced services value propositions, which are enabled by nine “IoT-enabled information systems (IS) artefacts” that specify the distinct interactions between the technological, information and social subsystems supporting the manufacturers' advanced services value propositions.
The study advances the servitisation research by demonstrating that IoT technology on its own is insufficient for the creation of the IoT contributions. It shows, instead, the need for close interactions with a diverse range of other factors, which are often not considered when developing an IoT strategy. The study also introduces the IS artefact notion as a unit of analysis that constitutes an alternative to the commonly adopted techno-centric perspective used to conceptualise IoT contributions. The study and its findings add to the development of a socio-technical perspective on the IoT in advanced services and thereby suggests a number of theoretical and practical implications.
It is well recognised that the UK commercial property market has traditionally used nominal market benchmarks such as the all‐risk yield based on the assumption that rents…
It is well recognised that the UK commercial property market has traditionally used nominal market benchmarks such as the all‐risk yield based on the assumption that rents are received annually in arrears. Obviously, the reality of the market is that rents are invariably received quarterly in advance and it has been suggested that valuers should move towards valuation techniques that reflect the actual timing of the cash flow. The Investment Property Forum issued a paper in September 1999 promulgating the use of quarterly in advance valuations. Parry’s Tables provides quarterly in advance formulae that reflect the reality of rental income and indicates that an annual effective yield should be used instead of a nominal yield to compensate for the subsequent compounding resulting from an income received quarterly. However, as will be shown, the effective yield formula provided by Parry’s does not reflect quarterly payments that are received in advance so compromising the accurate transition from annually in arrears to quarterly in advance formulae based valuations. Tables produced by the IPF have rectified this problem in part as they correctly work on the premise that capital values will not change as the profession changes to a quarterly approach. It is the yield which will be expressed differently. The use of an all risk yield technique for valuation is actually a comparative method. The way in which the yield is expressed is not the critical issue, it is the multiplier against the rent which will determine value. This paper provides the formula required to accurately transfer annually in arrears data into quarterly in advance data together with the formulae required for contemporary growth explicit discounted cash flows (DCF).
Purpose – The purpose of the chapter is to analyze the factors that lead firms to offshore advanced tasks.Methodology/approach – The study uses a 1,500-firm survey from…
Purpose – The purpose of the chapter is to analyze the factors that lead firms to offshore advanced tasks.
Methodology/approach – The study uses a 1,500-firm survey from Denmark to investigate the offshoring of 12 tradable manufacturing, technical, and service activities across different industries.
Findings – Findings indicate that offshoring of advanced tasks is driven by a different set of strategic motives than previous waves of offshoring, which predominantly included simple and standardized routine tasks. While the lower cost of unskilled, labor-intensive processes is the incentive for firms that offshore less advanced tasks, a desire to broaden and deepen global networks of new knowledge spurs highly knowledge-intensive companies to offshore more advanced tasks.
Originality/value of chapter – We propose that offshoring should be analyzed on a more disaggregated level of analysis than is the norm in mainstream offshoring literature. To reflect the trend whereby firms are “slicing” their value chain in finer and finer parts and locate these in various locations around the world, offshoring should be analyzed at the task level, since this paves the way for a richer understanding of offshoring strategies and processes.
Advances in Artificial Intelligence (AI) technologies and Autonomous Unmanned Vehicles are shaping our daily lives, society, and will continue to transform how we will…
Advances in Artificial Intelligence (AI) technologies and Autonomous Unmanned Vehicles are shaping our daily lives, society, and will continue to transform how we will fight future wars. Advances in AI technologies have fueled an explosion of interest in the military and political domain. As AI technologies evolve, there will be increased reliance on these systems to maintain global security. For the individual and society, AI presents challenges related to surveillance, personal freedom, and privacy. For the military, we will need to exploit advances in AI technologies to support the warfighter and ensure global security. The integration of AI technologies in the battlespace presents advantages, costs, and risks in the future battlespace. This chapter will examine the issues related to advances in AI technologies, as we examine the benefits, costs, and risks associated with integrating AI and autonomous systems in society and in the future battlespace.
The paper aims to develop a comprehensive framework for adopting an information and communication technology (ICT)-enabled customer relationship management (CRM) system…
The paper aims to develop a comprehensive framework for adopting an information and communication technology (ICT)-enabled customer relationship management (CRM) system, toward strengthening and expanding the customer basis of the organization.
Advanced ICT-enabled CRM includes mobile CRM, AI integrated CRM and social CRM and several business organizations have already started exploring their advanced utilization for direct financial gain and indirect “soft” benefits. Most of them, however, are challenged in the process, due to lower-than-demanded adoption of such CRM systems. To deal with the issue, the paper methodologically applies a dual qualitative case study approach that ultimately develops an advanced comprehensive CRM adoption framework.
The key findings pertaining to the evaluation of organizations’ readiness to adopt advanced ICT-enabled CRM systems in terms of infrastructure and resources, the identification of the critical functional areas of the organization’s focus and the differences in the requisite approaches across industries and organization types.
In the context of the internet and social media, the analysis and management of customer big data and their transcription into useable information is crucial. Traditional and conventional CRM was deemed unable to address this need, thus necessitating the use of advanced ICT-enabled CRM. The proposed corresponding framework tangibly and practically, thus, directs businesses toward the successful deployment of ICT-based CRM systems.
This study constitutes a novel attempt to identify the issues of deployment of ICT-based CRM systems in an organization and proposes a comprehensive framework, which will enable organizations to overcome the barriers when adopting a new system.
This chapter reviews 30 years of Advances in Group Processes. Its primary purpose is to study the part the series has played in the advances in the study of group…
This chapter reviews 30 years of Advances in Group Processes. Its primary purpose is to study the part the series has played in the advances in the study of group processes that have taken place between 1984 and 2014.
This chapter places the 30 years of Advances in Group Processes in the context of the changes that took place between small groups research in the 1950s and group processes research in the 1980s and beyond.
Analyzing the policies of Advances in Group Processes and its contents, this chapter reflects on its role in the advances in group processes that have taken place since the 1980s. Between 1950 and 1980, small group research reinvented, reconceptualized, and reinvigorated itself as group process research. Between the two periods, small group research, its applied research, and its research programs became increasingly theory-driven and its concept of the group and its levels increasingly analytic. As a consequence of these changes, the concept of the field itself became increasingly analytic. The changes between the two periods in its theory, research, application, programs, and in its concept of the group and the way the field was conceptualized led to marked advances in group process research in the 90s and beyond – to more theory, more impact of it on application, and more, and more cumulative, growth of it. Advances in Group Processes was at once a reflection of the changes that took place between the two periods and a driving force in the advances in group processes research that have taken place ever since.
Advances in Group Processes is a fundamental resource for the development of theory and research on small groups and group processes. This chapter provides an overview of its contributions and places them in the context of the development of the field as a whole.
The purpose of this study is to discuss how consumers accept advanced artificial intelligence (AI) robots in hospitality and tourism and provide a typology and conceptual…
The purpose of this study is to discuss how consumers accept advanced artificial intelligence (AI) robots in hospitality and tourism and provide a typology and conceptual framework to support future research on advanced robot applicability.
This research reviews current cases of AI use and technology acceptance model (TAM) studies and proposes a framework, interactive technology acceptance model (iTAM), to identify key determinants that stimulate consumer perceptions of advanced robot technology acceptance.
The main constructs and types of advanced robots were identified by reviewing TAM studies and AI robots that are currently used in the tourism and hospitality industry. This research found that as technologies tested in TAM studies have been improved by highly interactive systems, increased capability and a more user-friendly interface, examining perceived interactivity of technology has become more important for advanced robot acceptance models. The examples of advanced robot uses indicate that each machine learning application changes the robots’ task performance and interaction with consumers. Conducting experimental studies and measuring the interactivity of advanced robots are vital for future research.
To the authors’ knowledge, this is the first study on how consumers accept AI robots with machine learning applications in the tourism and hospitality industry. The iTAM framework provides fundamental constructs for future studies of what influences consumer acceptance of AI robots as innovative technology, and iTAM can be applied to empirical experiments and research to generate long-term strategies and specific tips to implement and manage various advanced robots.
这项研究回顾了AI使用和技术接受模型（TAM）研究的当前案例, 并提出了一个框架, 即交互式技术接受模型（iTAM）, 以识别能够激发消费者对先进机器人技术接受程度的认知的关键因素。
通过回顾当前在旅游和酒店业中使用的TAM研究和AI机器人, 本文确定了高级机器人的主要结构和类型。研究发现, 由于TAM中的技术已通过高度互动的系统, 增强的功能以及更友好的用户界面进行了改进, 因此, 对于先进的机器人接受模型而言, 检查感知技术交互性已变得越来越重要。先进的机器人使用案例表明, 每个机器学习应用程序都会改变机器人的任务性能以及与消费者的互动。进行实验研究和测量高级机器人的交互性对于将来的研究来说是至关重要的方向。
这是关于消费者如何在旅游和酒店业中接受具有机器学习应用程序的AI机器人的首次研究。iTAM框架为将来的研究提供了基础结构, 以了解哪些因素会影响消费者对AI机器人作为创新技术的接受程度。iTAM亦可以用于实证实验和研究, 以提供实施和管理各种先进机器人的长期策略和具体技巧。
iTAM,机器学习,人工智能机器人, 技术接受, 感知交互性, 人工智能机器人的类型
El Machine Learning (Aprendizaje Automático) de robots en turismo y hotelería: Modelo de Aceptación de Tecnología Interactiva (iTAM): tecnología de punta
El objetivo de este estudio, es analizar la aceptación que tienen los robots avanzados de Inteligencia Artificial (IA) por parte de los consumidores de hoteles y turismo y proporcionar una tipología y un marco conceptual para apoyar la investigación futura sobre la aplicabilidad avanzada de estos robots.
Esta investigación, revisa los casos actuales de uso de IA y estudios del Modelo de Aceptación de Tecnología (TAM) y propone: el Modelo de Aceptación de Tecnología Interactiva (iTAM) para identificar los determinantes clave que estimulan las percepciones del consumidor sobre la aceptación avanzada de la tecnología de robots.
Los principales prototipos de robots avanzados se identificaron mediante la revisión de los estudios TAM y de IA sobre robots que se utilizan actualmente en la industria del turismo y la hostelería. Esta investigación, encontró que a medida que las tecnologías testadas en los estudios TAM, se han mejorado mediante la incorporación de sistemas altamente interactivos, aumentando la capacidad y mejorando la usabilidad de la interfaz; se ha vuelto más importante examinar la interactividad percibida de la tecnología para los modelos avanzados de aceptación de robots. Los ejemplos de usos avanzados de robots, indican que cada aplicación de aprendizaje automático varía el rendimiento de la tarea de los robots y la interacción con los consumidores. La realización de estudios experimentales y la medición de la interactividad de los robots avanzados son vitales para futuras investigaciones.
Este es el primer estudio sobre como los consumidores del sector turístico y hotelero aceptan los robots de IA basado en aplicaciones de machine learning (aprendizaje automático). El marco iTAM proporciona constructos fundamentales para futuros estudios sobre los factores que influyen en el consumidor a la hora de aceptar los robots de IA como tecnología innovadora. iTAM se podría aplicar a experimentos empíricos e investigaciones con el objetivo de generar estrategias a largo plazo y consejos específicos para implementar y administrar varios robots avanzados.
iTAM, Aprendizaje automático, Robot de inteligencia artificial, Aceptación de tecnología, Interactividad percibida, Tipo de robot IA
Tipo de papel Papel conceptual
This paper aims to examine the relationship between physician leadership style and advanced practice health-care provider job satisfaction.
This paper aims to examine the relationship between physician leadership style and advanced practice health-care provider job satisfaction.
A total of 320 advanced practice providers (nurse practitioners and physician assistants) in Texas rated their supervising/collaborating physicians’ leadership style using the Multifactor Leadership Questionnaire 5X Short (Bass and Avolio, 2000) and assessed their own job satisfaction using the Abridged Job Descriptive Index (Smith, Kendall and Hulin, 1969). Regression models tested the relationships between physician leadership styles and several facets of job satisfaction of advanced practice providers while controlling for advanced practice provider age, gender, ethnicity, years of experience, salary level, clinical practice setting, level of physician supervision/collaboration and advanced practice provider type.
The results demonstrated that physician transformational leadership accounted for between 4.4 and 49.1 per cent of the variance in job satisfaction depending on the aspect of job satisfaction. Satisfaction with job supervision and satisfaction with job in general were those in which transformational leadership was found to have the most impact, explaining 49.1 and 15.5%, respectively. Demographic variables such as advanced practice provider type, age, years of experience and number of hours per week of physician collaboration/supervision had small but statistically significant associations with job satisfaction.
Recommendations for physician leadership development focusing on transformational leadership as a way to increase the satisfaction among other providers on health-care teams are discussed.
This paper examines the impact of supervising/delegating physician leadership style on other nonphysician members of the health-care team, specifically advanced practice health-care providers.
Supporting the advancement of science, technology, engineering and mathematics (STEM) in ways that help to ensure the health, prosperity, welfare and security of the…
Supporting the advancement of science, technology, engineering and mathematics (STEM) in ways that help to ensure the health, prosperity, welfare and security of the nation has been central to the mission of the US National Science Foundation (NSF) since 1950, the year Congress created the agency. Preparing a highly qualified and diverse STEM workforce plays a central role in supporting this mission. The paper aims to discuss these issues.
Over the past several decades, many positive steps have been taken throughout the US education system to help ensure a more diverse STEM workforce. Even so, women remain underrepresented among STEM faculty in higher education, especially at the upper ranks. Contributing to women’s underrepresentation are systemic obstacles to the recruitment, retention and promotion of women of different racial, ethnic, disability, sexual orientations and nationality statuses.
The NSF ADVANCE Program is designed to address these barriers. Success for ADVANCE is, therefore, best defined in terms of the changes made to the structures and climates of academic workplaces, rather than in numbers of women hired, retained or promoted in any one institution at a given point in time.
This introduction briefly examines the origins of ADVANCE, key transitions in the program over time, its reach nationally and internationally, and its future.