bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determinants of customer satisfaction in chatbot use: evidence from a banking application in Turkey
Authors: Eren Berrin Arzu 
Published: January 2021

PurposeThis study aims to investigates customer satisfaction from the use of bank chatbots and the effect of perceived trust in chatbots and banks' reputation on customer satisfaction.Design/methodology/approachA survey is conducted in Turkey involving 240 customers who experienced banking transactions using a chatbot. Partial least squares structural equation modeling (PLS-SEM) is used to investigate the relationships between the variables. The data were analyzed using SPSS 21 and SmartPLS programs.FindingsPerceived performance, perceived trust and corporate reputation significantly affect customer satisfaction with chatbot use. Customer expectations and confirmation of customer expectations have no direct impact on customer satisfaction, but customer expectations positively affect perceived performance. Customer expectations exert an indirect influence on customer satisfaction through perceived performance. Perceived performance has a positive impact on the confirmation of customer expectations, but customer expectations do not significantly impact the confirmation of customer expectations.Research limitations/implicationsThis study relies on a limited number of participants. Moreover, its sample is not representative of the target population due to the convenience sampling technique. Even if the results may not be generalized to the entire population of Turkey, they reflect the reality of emerging markets with relatively high technology sensitivity and a young population.Practical implicationsThe results provide new insights regarding banking service delivery channels, which may be of interest to professionals, academics, banks' top management, product development teams, design teams and customer satisfaction units.Social implicationsThis study is believed to help the community make their lives easier by providing them with knowledge and awareness about chatbots.Originality/valueThis study extends expectations confirmation theory's predictions to chatbot use in banking.
A study on emerging trends in Indian startup ecosystem: big data, crowd funding, shared economy
Authors: Chaudhari Sagar Lotan , Sinha Manish 
Published: January 2021

Purpose
India ranks third in the global startup ecosystem in the world incubating more than 50,000 startups and witnessing 15% YoY growth per year. Being a center of innovation and skilled labor, Indian startups have attracted investments from all over the world. This paper aims at exploring the trends that are driving the growth in the Indian startup ecosystem.

Design/methodology/approach
Top 200 startups according to valuation are selected as a sample to find out the major trends in the Indian startup ecosystem. This paper includes surveying the sample startups about the implementation of trends such as big data, crowdfunding and shared economy in their startup and its tangible, as well as intangible impacts on their business. The result of the survey is analyzed to get an overview of the emerging trends in the Indian startup ecosystem.

Findings
Major ten emerging trends that drive growth in the Indian startup ecosystem are discovered and the areas where these trends can be leveraged are identified.

Originality/value
This research has contributed toward structuring and documenting the growth driving trends, and it will help the budding entrepreneurs to get familiar with the contemporary trends, pros and cons associated with it and the ways to leverage these trends to build a successful startup.
Designing and delivering an online lesson study unit in mathematics to pre-service primary teachers: opportunities and challenges
Authors: Widjaja Wanty , Groves Susie , Ersozlu Zara 
Published: January 2021

PurposeThe purpose of this paper is to describe the design and delivery of a lesson study unit in mathematics to pre-service primary teachers and to identify the opportunities and challenges resulting from the need to deliver the unit wholly online due to the COVID-19 pandemic.Design/methodology/approachCross-case analysis, using a before-and-after design, was used to compare the development and delivery of the unit in 2019 and 2020, with the pivotal event of interest between the before-and-after cases being the onset of the COVID-19 pandemic.FindingsThe content and structure of the unit, as well as its collaborative aspects, remained substantially the same in the before-and-after cases. While there was a low level of engagement with pre-recorded lectures, there was a high level of engagement and participation in the online synchronous seminars, together with a marked increase in overall satisfaction with the unit. Pre-service teachers were unable to teach and observe one another's planned research lessons in school. Instead, after a detailed examination of the task, the lesson plan and student solutions, they observed a pre-recorded video of a research lesson at a local school and participated in a streamed post-lesson discussion. Pre-service teachers regarded this new component as a highlight of the unit and an important connection between the theory and practice of lesson study.Originality/valueThe inclusion of the video-recorded research lesson in 2020 introduced a new level of authenticity for pre-service teachers, allowing them to observe a high quality structured problem solving mathematics lesson taught in a local public school, as part of a local implementation of lesson study-something that is not generally possible. While there is often a view that the benefits of lesson study result mainly from collaborative planning and teaching of the research lesson, this paper highlights the value of involvement for all participants in research lesson observation and post-lesson discussion, as well as the opportunities afforded by the use of “virtual lesson study”.
Formal mentorship and instructional practices: a Teaching and Learning International Survey (TALIS) study of US teachers
Authors: Hightower Andromeda , Wiens Peter , Guzman Steven 
Published: January 2021

PurposeWithin schools across the USA, mentees supported by mentors experience a number of potential benefits, including high job satisfaction, less attrition and more opportunities for professional/emotional guidance. However, these benefits are less understood in the context of formal mentorship specifically, as well as to what extent these supports apply to instructional practices. This study aims to address the minimally researched area of how being mentored might impact the instructional practices of teachers at all stages of their career.Design/methodology/approachBased on data recently published for the Teaching and Learning International Survey (TALIS) in 2018, this study examines the relationship of teachers with formally assigned mentors, the number of total years of teaching experience and instructional practices. US teachers who responded to the target survey questions (n = 1,934) were submitted to several one-way analyses of variance to determine (1) the potential relationships between the presence of a formal mentor and instructional practices and (2) how different groups of teachers with varying numbers of total years of teaching experience impacted these relationships.FindingsThe results found that the presence of a formal mentor predicted higher classroom management practices, clarity of instruction practices and cognitive activation activities for the combined sample (p < 0.05), and for teachers with 15 years or more of teaching experience, the presence of a formal mentor predicted higher classroom management and clarity of instruction practices (p < 0.05).Originality/valueThe results provide evidence for the use of formally assigned mentors beyond new teacher induction, but the nature of the formal mentorships in this study is unclear. Future research should further investigate descriptive cases of more inclusive formal mentorship programs.
Anxiety buffers and the threat of extreme automation: a terror management theory perspective
Authors: Goethals Frank , Ziegelmayer Jennifer L. 
Published: January 2021

PurposeThe advent of extreme automation from new technologies such as artificial intelligence portends a massive increase in unemployment. The psychological impact of this threat on the workforce is critically important. This paper aims to examine the functioning of individuals' anxiety buffers in response to this threat.Design/methodology/approachA two-stage mixed-methods design is used. In stage 1, qualitative data are gathered through semi-structured interviews. In stage 2, quantitative data are collected through two experiments to assess the psychological impact of exposure to the threat.FindingsExposure to the threat of extreme automation reduces self-esteem, faith in the worldview and attachment security. When self-esteem and attachment security are under attack, they are ineffective as anxiety buffers, and anxiety levels increase. Additionally, there is a distal effect such that during a period of distraction, the threatened anxiety buffers are reinforced and return to their normal levels.Research limitations/implicationsThis study is limited to a homogenous culture in which work is highly salient. Future research should include other cultures, other methods of exposure and further examine the distal effects.Originality/valueThe study examines the previously underexplored issue of individuals' psychological response to the impending changes in the workforce because of technological advancements.
Barriers to service recovery in B2B markets: a TISM approach in the context of IT-based services
Authors: Baliga Ashwin J. , Chawla Vaibhav , Sunder M. Vijaya , Kumar Rajesh 
Published: January 2021

PurposeTo address service failure issues, scholars have recognized several service recovery (SR) mechanisms. However, there exist many barriers that retard an effective SR process, and those often lead to negative consequences. Although this is a generic problem applicable across markets, it becomes critical in B2B markets, as they deal with high impact and corporate customers. The purpose of this paper is to identify these SR barriers in B2B markets and explore their linkages toward identifying the key driving barriers.Design/methodology/approachA four-phased methodology to address this call in the IT services industry was used. First, the identification phase led to the selection of 27 barriers based on literature. Second, in the prioritization phase, 12 salient barriers were prioritized with the help of an expert panel. Third, in the modelling phase, the total interpretive structural modelling (TISM) technique was used to examine the mutual influences among these barriers toward modelling their linkages using a digraph. Finally, in the classification phase, these barriers were graphically plotted and classified into four quadrants based on their dependence and driving powers by using Matriced Impacts Croisés Multiplication Appliquée á un Classement (MICMAC) analysis.FindingsTwo strategic barriers, namely, technology obsolescence and poor top management commitment, presented the strongest challenges against effective SR, as they were least dependent on other barriers and exerted strong influence over the operational barriers to executing SR.Practical implicationsBecause the strategic level barriers, exerting strong influence against effective SR, arise from the strategic choices of board and the C-suite, this paper helps them anticipate the recovery-related after effects of their choices, thus helping them in making better decisions.Originality/valueThis paper contributes to research as it is first of its kind to explore and link SR barriers in B2B markets.
How can an organic label help a private label?
Authors: Casteran Gauthier , Ruspil Thomas 
Published: January 2021

Purpose
This paper aim to investigate how organic labeling impacts perceived value for money (PVFM) as well as attitudinal and behavioral brand loyalty for private label brands (PLBs). This impact is tested for different product categories and retailers.

Design/methodology/approach
Two online experiments are conducted with different product categories (i.e. eggs and chocolate) and different retailers (i.e. Auchan and Carrefour). For each experiment, a multivariate analysis of covariance with brand type (i.e. PLBs and organic PLBs) as the independent variables, the PVFM and brand loyalty as the dependent variables as well as consumers’ characteristics, involvement with organic products and attitudes toward the retailer as the covariates is run.

Findings
On aggregate, organic PLBs prompt a higher PVFM as well as a higher attitudinal and behavioral loyalty than the PLBs. These results are consistent across the above-mentioned product categories and retailers.

Research limitations/implications
This study advances knowledge on organic labeling for the PLBs.

Practical implications
Retailers gain insights on the perceptions and behaviors toward organic PLBs versus standard PLBs.

Originality/value
This study tests how an organic label impacts the PVFM and brand loyalty for the PLBs.
Measuring Urban Vulnerability to Natural Disaster Risk: Benchmarks for Sustainability
Authors: Pelling Mark 
Published: January 2021

The Millennium Declaration and the Hyogo Framework for Action point towards the need for methods to identify urban vulnerability to disaster risk as a pre-cursor for the development of benchmarks with which to track policy progress for urban sustainability and risk reduction. This paper responds to this call by assessing the state of the art in urban vulnerability and risk assessment tools. It presents a review of the conceptual frameworks, methodologies and comparative advantages of ten tools. These are categorised into deductive and inductive approaches, with inductive approaches in turn separated into those that use social-survey and participatory methods. The tools examined vary in the focus of their interests between those concerned with the vulnerability of places (cities or buildings) and people (either as predefined vulnerable social groups or identified through household livelihood sustainability).
The paper calls for a deeper conversation between the emerging community of practitioners working on urban disaster risk management and the existing urban development community. For example, disasters are typically defined as exceptionally large, single events, which adds to analytical clarity, but misses the cumulative impact of multiple small, local events on household sustainability and urban infrastructure, ultimately distorting planning guidance. There is also a need for natural hazard specific vulnerability assessment tools to be interpreted alongside, or to incorporate social, economic and political sources of danger to livelihoods and human health. For forward looking policy relevance, tools are also needed that can assess adaptive or coping capacity. This is essential for the building of a holistic approach to urban risk management. An approach that coherently tackles the multiple hazards and vulnerabilities faced by urban dwellers, and seeks to avoid the shifting of risk burdens between populations and the movement of people from one kind of threat to another.
Building Mounted Wind Turbines on Existing Multi-Storey Housing
Authors: Sharpe Tim 
Published: January 2021

One of the most significant challenges facing contemporary architectural and urban design is how it can become more sustainable. Energy consumption by housing is a major source of greenhouse gas emissions and a cause of depletion of non-renewable energy sources. Of particular concern is existing stock, which has the worst performance and is hardest to improve.
One means of addressing these issues that is attracting increasing interest is the integration of embedded renewable energy technologies. This paper discusses the use of wind turbines on buildings as a response to climate change legislation. It examines the potential for embedded generation in a specific built form (existing high rise housing) and places this in the context of a particular geographical location (Glasgow, Scotland) where the existing provision is highly problematic, but which also presents significant potential. It describes findings from two projects in Glasgow, a pilot installation on a city centre multi-storey block, and subsequent feasibility study for a Housing Association managed multi-storey block and identifies the problems and opportunities that may be applied in similar projects elsewhere.
Effect of process route on powder three-dimensional-printing of metal powders
Authors: Olumor Ifeanyichukwu Donald , Geuntak Lee , Olevsky Eugene 
Published: January 2021

Purpose
The purpose of this study is to investigate the effect of two unique processing routes (solvent jetting (SJ) and binder jetting (BJ)), on the green density of printed stainless steel 316L (SS316L) and Nickel (Ni) powders.

Design/methodology/approach
In the SJ processing route, a solvent is jetted unto the powder/binder mixture to selectively activate the binder, layer by layer. In the BJ processing route, a solution of the binder mixture is jetted onto the powder bed to selectively bind powder particles. The effects of printing parameters such as layer height, roller speed, shaker speed and nozzle temperature on the green density of printed components are investigated and compared for both processing routes.

Findings
Results show that layer height and nozzle temperature affect the relative density of the printed compact for both processing routes. Slightly higher relative densities were achieved via the SJ route, with the overall highest relative density being 42.7% at 100 µm layer height and 70% nozzle temperature for the SS316L components and 43.7% at 150 µm layer height and 90% nozzle temperature for the Ni components, respectively. Results also show an increase in the final sintered relative density with an increase in green (printed) relative density of the solvent jetted SS316L components, with the highest relative density being 87.2%.

Originality/value
The paper studies the influence of printing parameters on the green density of printed SS316L and Ni samples in an unprecedented effort to provide a comparative understanding of the process-property relationships in BJ and SJ of SS316L and Ni components to the additive manufacturing research community.
Purification and characterization of bromelain from pineapple (Ananas comosus L.) peel waste
Authors: Zhou Wei , Ye Cuizhu , Geng Lijing , Chen Guannan , Wang Xiaoyu , Chen Weijie , Sa Rina , Zhang Junpeng , Zhang Xiang 
Published: January 2021

AbstractBromelain is widely used in food industry and pharmaceutical products due to its strong antioxidant properties. Therefore, the extraction of bromelain from pineapple peel may improve the profitability and sustainability of pineapple industry. The aim of this work is to show the purification, stability, and kinetics of bromelain from pineapple peel. By studying the stability of purified bromelain (PB), we found that the activity of PB was inhibited by Fe3+, Al3+, methanol, ethanol, and n‐butyl alcohol, while it was increased in the presence of Ca2+, ethylenediamine tetra acetic acid, glucose, D‐xylose, maltose, potassium sodium tartrate, sodium citrate, citric acid, and sodium nitrite. These stability tests will expand the application and space acquisition of bromelain. The kinetics study indicated that the thermal inactivation of PB was conforming to the first‐order reaction and the half‐life (t1/2) of PB under different temperature conditions (45, 55, 65, and 75 °C) was 81.54, 31.12, 10.28, and 5.23 min, respectively. Therefore, the inactivation time of PB can be predicted at different temperatures for food heating processing.Practical ApplicationThe potential of utilizing pineapple peel for bromelain extraction might improve the profitability and sustainability of the pineapple industry.
Preclinical and clinical advances in dual‐target chimeric antigen receptor therapy for hematological malignancies
Authors: Guo Zhenling , Tu Sanfang , Yu Siyao , Wu Liufang , Pan Wanying , Chang Ning , Zhou Xuan , Song Chaoyang , Li Yuhua , He Yanjie 
Published: January 2021

AbstractIn recent years, the excellent curative effect of CD19‐specific chimeric antigen receptor (CAR) T‐cell therapy has brought hope to patients with relapsing or refractory B‐cell hematological malignancies, however relapse after CAR T‐cell infusion has hindered the widespread clinical application of this immunotherapy and targeted antigen‐negative relapse has caused widespread concern. Consequently, strategies for increasing targeted antigens have been created. In addition to the most widely applied target, namely CD19, researchers have further explored the possibility of other targets, such as CD20, CD22, CD33, and CD123, and have tested a series of combination antigen CAR T‐cell therapies. Here, we summarize the current preclinical and clinical studies of dual‐target CAR T cells.
Limitations and benefits of FDG‐PET/CT in NF1 patients with nerve sheath tumors: A cross‐sectional/longitudinal study
Authors: Nishida Yoshihiro , Ikuta Kunihiro , Ito Shinji , Urakawa Hiroshi , Sakai Tomohisa , Koike Hiroshi , Ito Kan , Imagama Shiro 
Published: January 2021

AbstractThe purposes of this study were to re‐confirm the usefulness of PET/CT in the differentiation of benignity/malignancy of neurogenic tumors in NF1 patients, and to analyze the natural course of plexiform neurofibroma (pNF) and clarify whether PET/CT is also useful for detecting tumors other than neurogenic tumors. PET/CT was prospectively imaged in 36 NF1 patients. There were 14 malignant peripheral nerve sheath tumors (MPNSTs) in 14 patients, and 54 pNFs in 30 patients. Nine patients had both MPNST and pNF. Maximal standardized uptake value (SUVmax) was significantly higher in MPNST (median 7.6: range 4.1‐10.4) (P < .001) compared with that of pNF (median 3.7: range 1.6‐9.3). The cut‐off value of 5.8 resulted in a sensitivity of 78.6% and specificity of 88.9%. Median age was 29 y, and median maximum tumor diameter was 82 mm in 14 MPNST patients. The 5‐y overall survival rate was 46.8%. Three patients with low‐grade MPNST were alive without disease at the time of this report. In 9 patients in which pNF and MPNST co‐existed, 2 showed a higher SUVmax of pNF than that of MPNST. Natural history analysis of pNF (n = 43) revealed that no factors significantly correlated with increased tumor size. Nine lesions other than neurogenic tumors were detected by PET/CT including 5 thyroid lesions and 3 malignant neoplasms. This study revealed the usefulness and limitation of PET/CT for NF1 patients. In the future, it will be necessary to study how to detect over time the malignant transformation of pNF to MPNST, via an intermediate tumor.