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1 – 10 of 831Vladimir C.M. Sobota, Geerten van de Kaa, Toni Luomaranta, Miia Martinsuo and J. Roland Ortt
This paper addresses the most important factors for the selection of additive manufacturing (AM) technology as a method of production of metal parts. AM creates objects by adding…
Abstract
Purpose
This paper addresses the most important factors for the selection of additive manufacturing (AM) technology as a method of production of metal parts. AM creates objects by adding material layer by layer based on 3D models. At present, interest in AM is high as it is hoped that AM contributes to the competitiveness of Western manufacturing industries.
Design/methodology/approach
A literature study is conducted to identify the factors that affect the selection of AM technology. Expert interviews and the best–worst method are used to prioritize these factors based on relative factor weights.
Findings
Technology, demand, environment and supply-related factors are categorized and further mapped to offer a holistic picture of AM technology selection. According to expert assessments, market demand was ranked highest, although market demand is currently lacking.
Research limitations/implications
The composition and size of the expert panel and the framing of some of the factors in light of previous literature cause validity limitations. Further research is encouraged to differentiate the selection factors for different AM implementation projects.
Originality/value
The paper presents a more complete framework of factors for innovation selection in general and the selection of AM technology specifically. This framework can serve as a basis for future studies on technology selection in the (additive) manufacturing sector and beyond. In addition to AM-specific factor weights, the paper explains why specific factors are important, reducing uncertainty for managers that have to choose between alternative manufacturing technologies.
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Antonio Iazzi, Lorenzo Ligorio and Lea Iaia
A model on the cognitive elements of engagement is adopted and content analysis, along with sentiment analysis, has been used to explore the post characteristics and the levels of…
Abstract
Purpose
A model on the cognitive elements of engagement is adopted and content analysis, along with sentiment analysis, has been used to explore the post characteristics and the levels of stakeholders' interactions in controversial and non-controversial European industries through three Poisson regressions. At last, an ANOVA test has been used to check the level of interaction regarding the coronavirus disease 2019 (COVID-19)-related aspects.
Design/methodology/approach
The intrinsic characteristics of controversial industries cause the stakeholders’ skepticism about their corporate social responsibility (CSR) strategies. This results in the need to elaborate proper involvement strategies to approach industries' stakeholders. Such need has assumed relevance during the COVID-19 crisis and has traced a certain border between the companies that are more sensitive to the social side of the surrounding environment and the ones that are less involved in risky sectors. The present paper aims to understand the role of social media in stakeholder engagement, and social media's characteristics, and tries to elaborate on companies' CSR communication readiness to the challenges shown by the pandemic.
Findings
The study reveals how the success of stakeholder engagement in CSR communication is affected by both controversial sector membership and the characteristics of the posts such as the inclusion of the sustainable development goals (SDGs). In addition, the study emerges how the European companies have focused on social aspects in companies' communication, revealing a certain readiness for the COVID-19 challenges.
Practical implications
Building on a model of cognitive elements of engagement, the present study provides useful insights for companies' next engagement strategies on social media. Moreover, the thematic analysis provides a benchmark for the improvement of current corporations' communication strategies in light of the pandemic effects.
Originality/value
This paper contributes to the literature by investigating the role of Twitter as a stakeholder engagement tool and identifies the drivers for an effective Twitter content strategy. Moreover, the paper provides a useful proxy for current and future research on the COVID-19-related CSR communication.
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Miguel Angel Moliner and Vicent Tortosa-Edo
The objective of this research is to analyze how omnichannel consumer journey design (OCJD) influences the online customer experience (OCE) and e-satisfaction in consumers'…
Abstract
Purpose
The objective of this research is to analyze how omnichannel consumer journey design (OCJD) influences the online customer experience (OCE) and e-satisfaction in consumers' multirooming behavior (searching for information in online and offline channels and purchasing the product online).
Design/methodology/approach
The problem-solving theory and experiential marketing perspective are the theoretical background that enables the establishment of five hypotheses. A survey is conducted on multiroomers who had purchased a product online, following an online and offline research journey.
Findings
The results showed that OCJD directly and indirectly (through online consumer experience) influences e-satisfaction. Females and younger individuals exhibited higher levels of e-satisfaction.
Originality/value
First, this research analyzes consumers' multichannel search strategies. Second, the consumer journey is incorporated into the study of multichannel retailing. Third, an emergent typology of cross-channel free-riding behavior is analyzed: multirooming.
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Daniela Cortés, Albert Anton Traxler and Dorothea Greiling
While research on sustainability reporting in the construction industry has already provided comprehensive findings, the purpose of this paper is to answer the question of how…
Abstract
Purpose
While research on sustainability reporting in the construction industry has already provided comprehensive findings, the purpose of this paper is to answer the question of how construction companies anchor the topic of sustainability in their strategic and operative management control practices. The implementation of sustainable business models and sustainability strategies requires proper management control instruments or mechanisms that support the transformation process or make it possible in the first place.
Design/methodology/approach
A qualitative content analysis based on deductive and inductive procedures was conducted. 39 sustainability reports published by the largest construction companies in the EU were examined.
Findings
Valuable insights are provided by showing which control instruments and mechanisms are used to improve corporate sustainability performance as well as how these are linked systematically. The results show that the focus is on strategic planning, cultural and administrative controls, while short-term targets, which could set out the path to achieving the long-term sustainability goals set, are often not reported. Strategic stakeholder theory and legitimacy theory provide explanations for the use of management control practices identified.
Originality/value
Previous studies often focus on selected single control practices and miss holistic approaches for investigating corporate sustainability in construction companies. Furthermore, theoretical perspectives with instrumental and socio/political views on corporate sustainability help us explain the control practices applied. Moreover, practitioners, standard setters and legislators can use the findings for sustainability management or for developing standards and legislation.
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Xudong He, GuangYi Yang, E. Yang, Moli Zhang, Dan Luo, Jingjian Liu, Chongnan Zhao, Qinhua Chen and Fengying Ran
Based on DNase I and reduced graphene oxide (rGO)-magnetic silicon microspheres (MNPS), a highly sensitive and selective fluorescent probe for the detection of PD-L1 was developed.
Abstract
Purpose
Based on DNase I and reduced graphene oxide (rGO)-magnetic silicon microspheres (MNPS), a highly sensitive and selective fluorescent probe for the detection of PD-L1 was developed.
Design/methodology/approach
Here °C we present a feasibility of biosensor to detection of PD-L1 in lung tumors plasma. In the absence of PD-L1°C the PD-L1 aptamer is absorbed on the surface of graphene oxide modified magnetic nanoparticles °8rGO-MNPS°9 and leading to effective fluorescence quenching. Upon adding PD-L1°C the aptamer sequences could be specifically recognized by PD-L1 and the aptamer/PD-L1 complex is formed°C resulting in the recovery of quenched fluorescence.
Findings
This sensor can detect PD-L1 with a linear range from 100 pg mL−1 to 100 ng mL−1, and a detection limit of 10 pg•m−1 was achieved.
Originality/value
This method provides an easy and sensitive method for the detection of PD-L1 and will be beneficial to the early diagnosis and prognosis of tumors.
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The research aims to understand how smart speakers are perceived by their actual and potential users, their attitude towards smart speakers and consequently their intention to use…
Abstract
Purpose
The research aims to understand how smart speakers are perceived by their actual and potential users, their attitude towards smart speakers and consequently their intention to use them.
Design/methodology/approach
The authors apply a structural equation modelling (SEM) approach to test the research hypotheses through data coming from a structured questionnaire.
Findings
The results show that the higher the importance attributed to usefulness and ease of use, the higher the positive attitude that in turn positively affects the intention to use smart speakers. A significant relationship also emerged between task technology fit and attitude towards smart speakers, as well as between perceived enjoyment and attitude towards smart speakers. Perceived privacy risk, innovativeness and social attraction have been found to not significantly impact attitudes towards smart speakers.
Originality/value
Although several academic studies have focused on various aspects of smart technologies, only a few studies discuss the factors that push consumers to use smart speakers for activities related to commercial transactions. Therefore, looking at the rapid rise of smart speakers for daily tasks and the gradual acceptance of voice interaction with digital tools, the authors proposed a study about Italian users' intention to use smart speakers. Specifically, to fill the gap in the existing literature, the authors applied a SEM approach to identify utilitarian and hedonic benefits that motivate the use of these devices.
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Angelo Ranieri, Irene Di Bernardo and Cristina Mele
Service research offering a view of both the dark and bright sides of smart technology remains scarce. This paper embraces a critical perspective and examines the conflicting…
Abstract
Purpose
Service research offering a view of both the dark and bright sides of smart technology remains scarce. This paper embraces a critical perspective and examines the conflicting outcomes of smart services on the customer experience (CX), with a specific focus on chatbots.
Design/methodology/approach
This study uses empirical research methods to examine a single case study where an online retail service provider implemented a chatbot for customer service. Using discourse analysis, we analysed 7,167 conversations between customers and the chatbot over a two-year period.
Findings
The analysis identifies seven general themes related to the effects of the chatbot on CX: interaction quality, information gathering, procedure literacy, task achievement, digital trust, shopping stress and shopping journey. We illuminate both positive (i.e. having a pleasant interaction, providing information, knowing procedures, improving tasks, increasing trust, reducing stress and completing the journey) and negative outcomes (i.e. having an unpleasant interaction, increasing confusion, ignoring procedures, worsening tasks, reducing trust, increasing stress and abandoning the journey).
Originality/value
The paper develops a comprehensive framework to offer a clearer view of chatbots as smart services in customer care. It delves into the conflicting effects of chatbots on CX by examining them through relational, cognitive, affective and behavioural dimensions.
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Peter C. Verhoef, Corine S. Noordhoff and Laurens Sloot
The Covid-19 pandemic has a strong effect on societies, business and consumers. Governments have taken measures to reduce the spread of the pandemic, such as social distancing and…
Abstract
Purpose
The Covid-19 pandemic has a strong effect on societies, business and consumers. Governments have taken measures to reduce the spread of the pandemic, such as social distancing and lockdowns. The latter has also resulted in a temporary closure of physical stores for “non-essential” retailing. Covid-19 thus has a profound impact on how people live. The period of relative isolation, social distancing and economic uncertainty changes the way we behave. New consumer behaviors span all areas of life, from how we work to how we shop to how we entertain ourselves. These shifts have important implications for retailers. This paper aims to discuss the potential structural effect on shopping behavior and retailing when Covid-19 measures are no longer needed and society moves back to a normal situation.
Design/methodology/approach
The paper synthesizes empirical and conceptual literature on the consequences of COVID-19 and introduces a conceptual framework along with a set of predictions that can be investigated with empirical data.
Findings
This study suggests that Covid-19 shapes both consumer needs and behavior and how retailers respond to these changes. Moreover, it suggests that this will not only affect market outcomes (i.e. retail sales and market share online) but also firm outcomes (i.e. customer experience, firm sales) and importantly the competition between online and offline retailers.
Originality/value
In the conceptual framework, this study aims to advance knowledge on longer-term outcomes (vs immediate outcomes such as panic buying) and how COVID-19 is changing the competitive landscape of retail.
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Noel Scott, Brent Moyle, Ana Cláudia Campos, Liubov Skavronskaya and Biqiang Liu