bluuebunny/crossref_metadata_2025_split huggingface dataset:
ARTseq-FISH reveals position-dependent fate decisions driven by cell cycle changes
Authors: Hu Xinyu , van Sluijs Bob , Blay Óscar García , Stepanov Yury , Rietrae Koen , Huck Wilhelm T.S. , Hansen Maike M. K. 
Published: September 2022

AbstractCell fate decisions are ubiquitous and play a critical role throughout development, yet how localization impacts cellular decision making remains unclear. To identify the drivers of position-dependent fate decisions at a molecular level, we developed a scalable antibody and mRNA targeting sequential fluorescence in situhybridization (ARTseq-FISH) method capable of simultaneously profiling mRNAs, proteins and phosphoproteins in single cells at sub-micrometre spatial resolution. We studied 67 unique (phospho-)protein and mRNA targets in individual mouse embryonic stem cells (mESCs) cultured on circular micropatterns, yielding quantification of both abundance and localization of mRNAs and (phospho-)proteins during the first 48 hours of differentiation. ARTseq-FISH revealed a fate decision between continued self-renewal and differentiation that relies solely on the position of each mESC on the micropattern. Our results demonstrate that temporal changes in cell cycle orchestrate these position-dependent cell fate decisions.
How accounting creates performative moments and performative momentum
Authors: Christner Carl Henning , Sjögren Ebba 
Published: September 2022

PurposeThis paper aims to analyse the longitudinal performative effects of accounting, focusing on how accounting shapes the stability/instability of economic frames over time.Design/methodology/approachTo explore the performative effects of accounting over time, a longitudinal case study narrates the transformation of a large, listed manufacturing company's financial strategy over 20 years. Using extensive document collection, the authors trace the shift from an “industrial” frame to a “shareholder value” frame in the mid-1990s, followed by the gradual entrenchment of this shareholder value frame until its decline in the wake of the financial crisis in 2008.FindingsOur findings show how accounting has different performative temporalities, capable of precipitating sudden shifts between different economic frames and stabilising an ever-more entrenched and narrowly defined enactment of a specific frame. We conceptualise these different temporalities as performative moments and performative momentum respectively, explaining how accounting produces these performative effects over time. Moreover, in contrast to extant accounting research, the authors provide insight into the performative role of accounting not only in contested but also “cold” situations marked by consensus regarding the overarching economic frame.Originality/valueOur paper draws attention to the longitudinal performative effects of accounting. In particular, the analysis of how accounting entrenches and refines economic frames over time adds to prior research, which has focused mainly on the contestation and instability of framing processes.
The DAWN readiness model to assess the level of use of Industry 4.0 technologies in the construction industry in Brazil
Authors: Ribeiro Daniel Bernardo , Coutinho Aparecido dos Reis , Satyro Walter Cardoso , Campos Fernando Celso de , Lima Carlos Roberto Camello , Contador José Celso , Gonçalves Rodrigo Franco 
Published: September 2022

Purpose
Construction industry (CI) has great prominence for the world economy, and it is expected that, with the use of the innovative technologies and approaches of Industry 4.0 (I4.0), the new industrial paradigm, construction can reach higher levels of productivity. This study aims to develop a model (readiness model) to assess the level of use of I4.0 technologies by the construction sector in Brazil and its most relevant applications.

Design/methodology/approach
The methodology used was bibliographic research, design-science research and a survey to validate the model, carried out with 162 companies, considered among the main ones in the sector in Brazil. The literature review revealed 13 technologies of I4.0 applied to construction; hence, the views of industry experts were based on these technologies.

Findings
The Digital Advancement Within CoNstruction (DAWN) readiness model was proposed, showing that among the 13 evaluated technologies of I4.0 and their applications, the Brazilian construction companies had a low level of utilization; both high and middle-income companies presented this low level of use; some technologies with a greater number of scientific publications were less used in practice in the Brazilian construction.

Originality/value
The originality and theoretical contribution are to present a readiness model to assess the level of use of I4.0 technologies and their most relevant applications in the CI in countries with an economy similar to Brazil’s, making it possible to measure the level of adoption of these technologies.
Tourists’ post-adoption continuance intentions of chatbots: integrating task–technology fit model and expectation–confirmation theory
Authors: Dhiman Neeraj , Jamwal Mohit 
Published: September 2022

Purpose
Despite the proliferation of service chatbots in the tourism industry, the question on its continuance intentions among customers has largely remain unanswered. Building on an integrated framework using the task–technology fit theory (TTF) and the expectation–confirmation model (ECM), the present study aims to settle this debate by investigating the factors triggering customers to continue to use chatbots in a travel planning context.

Design/methodology/approach
The research followed a quantitative approach in which a survey of 322 chatbot users was undertaken. The model was empirically validated using the structural equation modelling approach using AMOS.

Findings
The results reveal that users’ expectations are confirmed when they believe that the technological characteristics of chatbots satisfy their task-related characteristics. Simply, the results reveal a significant and direct effect of TTF on customers’ confirmation and perceived usefulness towards chatbots. Moreover, perceived usefulness and confirmation were found to positively impact customers’ satisfaction towards chatbots, in which the former exerts a relatively stronger impact. Not surprisingly, customers’ satisfaction with the artificial intelligence(AI)-based chatbots emerged as a predominant predictor of their continuance use.

Practical implications
The findings have various practical ramifications for developers who must train chatbot algorithms on massive data to increase their accuracy and to answer more exhaustive inquiries, thereby generating a task–technology fit. It is recommended that service providers give consumers hassle-free service and precise answers to their inquiries to guarantee their satisfaction.

Originality/value
The present work attempted to empirically construct and evaluate the combination of the TTF model and the ECM, which is unique in the AI-based chatbots available in a tourism context. This research presents an alternate method for understanding the continuance intentions concerning AI-based service chatbots.
Factors affecting consumer purchase intention for buying solar energy products
Authors: Fathima M.S. Arshiya , Batcha H. Moideen , Alam Ansari Sarwar 
Published: September 2022

Purpose
The purpose of this paper is to identify the factors influencing consumers’ intention to purchase solar energy products (SEPs).

Design/methodology/approach
The research is based on primary data that has been collected from a total of 351 non-users of SEPs from different cities of Tamil Nadu state (India). Confirmatory factor analysis and structural equation modelling have been used to examine the collected data.

Findings
Attitude, perceived behavioral control and energy concern variables are significant towards consumers’ purchase intention. However, other variables such as subjective norms and energy awareness were found insignificant.

Research limitations/implications
The sample size was chosen based on convenience sampling, and the sample was collected from the different cities in Tamil Nadu. As a result, the outcome may not be representative of the whole population. Respondents’ perspectives in one section of India may differ from those in another.

Practical implications
The findings of this study help policymakers, business experts, marketers, social marketers and energy conservation organizations in gaining a better understanding of consumer behavior.

Social implications
The outcome of this study will be effective in developing action plans to improve environmental quality through solar products.

Originality/value
This study has targeted the potential consumers and identified factors that are influencing consumers’ intention to purchase SEP. Therefore, the study’s findings will add value to SEP companies, government and non-government organizations, marketers, academicians and the research community.
House price forecasting using the multi-level modelling method in Sydney
Authors: Ge Xin Janet , Mangioni Vince , Shi Song , Herath Shanaka 
Published: September 2022

Purpose
This paper aims to develop a house price forecasting model to investigate the impact of neighbourhood effect on property value.

Design/methodology/approach
Multi-level modelling (MLM) method is used to develop the house price forecasting models. The neighbourhood effects, that is, socio-economic conditions that exist in various locations, are included in this study. Data from the local government area in Greater Sydney, Australia, has been collected to test the developed model.

Findings
Results show that the multi-level models can account for the neighbourhood effects and provide accurate forecasting results.

Research limitations/implications
It is believed that the impacts on specific households may be different because of the price differences in various geographic areas. The “neighbourhood” is an important consideration in housing purchase decisions.

Practical implications
While increasing housing supply provisions to match the housing demand, governments may consider improving the quality of neighbourhood conditions such as transportation, surrounding environment and public space security.

Originality/value
The demand and supply of housing in different locations have not behaved uniformly over time, that is, they demonstrate spatial heterogeneity. The use of MLM extends the standard hedonic model to incorporate physical characteristics and socio-economic variables to estimate dwelling prices.
Aging is inevitable: understanding aging anxiety related to physical symptomology and quality of life with the mediating role of self-esteem in adults
Authors: Yawar Rowaida , Khan Soulat , Rafiq Maryam , Fawad Nimra , Shams Sundas , Navid Saher , Khan Muhammad Abdullah , Taufiq Nabiha , Touqir Areesha , Imran Moazma , Butt Tayyab Ali 
Published: September 2022

Purpose
This study aims to examine the relationship between aging anxiety, self-esteem, physical symptomology and quality of life in early and middle adults as well as to explore the mediating role of self-esteem.

Design/methodology/approach
A cross-sectional study was designed, and a sample of N= 700 educated men and women aged between 35 and 65 years were taken through purposive sampling. Anxiety about Aging Scale, Rosenberg Self-esteem Scale, The World Health Organization Quality of Life – BREF and Somatic Symptom Scale-8 were used for assessment.

Findings
Research suggests that an increase in aging anxiety leads to poor quality of life and lower self-esteem. Additionally, a negative relationship was observed between aging anxiety and physical symptomology. Self-esteem plays a mediating role significantly in these relationships.

Practical implications
The study highlighted the adverse effects of aging anxiety on the basis of which strategies can be devised to cope with it as well as to improve the self-esteem and quality of life in transition age. These findings can also aid in providing health care and public services in later adulthood. This study also emphasizes on aging as a human right rather than merely a process such as the human right for physical health and mental health.

Originality/value
This study provides a new outlook and perspective toward how the phenomenon of aging impacts the lives of adults who are about to enter older adulthood in a few years. The fears related to aging influence physical and mental health, due to which it is necessary to investigate the effect of aging anxiety.
Coaching in teacher residency programs: a strategy for professional learning and development for in-service teachers
Authors: Hope Samantha T. , Abrams Lisa M. , Marshall David T. 
Published: September 2022

PurposeTeacher residency programs (TRPs) offer an alternative to traditional models of teacher preparation with the aim of developing teachers to work and stay in hard-to-staff schools. Research on these extended field placement programs is limited and typically examines program outcomes or the experiences and development of the pre-service teachers, or residents. This study focuses on a relatively unexamined area of TRPs to explore how providing mentoring and coaching supports the professional development of the in-service TRP coaches.Design/methodology/approachThis study employed a qualitative case study design. Fourteen coaches in an urban teacher residency program were interviewed over a three-year period. Using a semi-structured protocol, participants’ experiences and the influence of program participation were explored.FindingsFindings revealed that coaches experienced professional growth in their instructional practices and deepened or renewed their commitment to teaching. Program components such as evidence-based observational tools and protocols encouraged reflective practice and (re)evaluation of teaching that contributed to beliefs about improved practice.Practical implicationsIn-service teachers experience development in their pedagogical practices and may feel a renewed sense of professional engagement through serving as a coach for a pre-service teacher. Additionally, hard-to-staff schools that partner with TRPs to recruit and develop new teachers may find an added benefit in retaining a greater number of veteran teachers who participate as coaches in residency pre-service education programs.Originality/valueMuch of the teacher residency literature explores the outcomes and experiences of pre-service teacher residents and has little focus on how these programs may benefit TRP coaches. Coaches have an essential role in the implementation and influence of residency programs on pre-service teachers, yet little is understood about how the act of coaching impacts the in-service teacher coach. This article suggests that coaches experience meaningful professional benefits of participation in TRPs and has implications for effective residency program design.
Customers' online shopping intention by watching AI-based deepfake advertisements
Authors: Sivathanu Brijesh , Pillai Rajasshrie , Metri Bhimaraya 
Published: September 2022

PurposeThe purpose of this study was to investigate the online shopping intention of customers by watching artificial intelligence (AI)–based deepfake video advertisements using media richness (MR) theory and Information Manipulation Theory 2 (IMT2).Design/methodology/approachA conceptual model was developed to understand customers' online shopping intention by watching deepfake videos. A quantitative survey was conducted among the 1,180 customers using a structured questionnaire to test the conceptual model, and data were analyzed with partial least squares structural equation modeling.FindingsThe outcome of this research provides the antecedents of the online shopping intention of customers after watching AI-based deepfake videos. These antecedents are MR, information manipulation tactics, personalization and perceived trust. Perceived deception negatively influences customers' online shopping intention, and cognitive load has no effect. It also elucidates the manipulation tactics used by the managers to develop AI-based deepfake videos.Practical implicationsThe distinctive model that emerged is insightful for senior executives and managers in the e-commerce and retailing industry to understand the influence of AI-based deepfake videos. This provides the antecedents of online shopping intention due to deepfakes, which are helpful for designers, marketing managers and developers.Originality/valueThe authors amalgamate the MR and IMT2 theory to understand the online shopping intention of the customers after watching AI-based deepfake videos. This work is a pioneer in examining the effect of AI-based deepfakes on the online shopping intention of customers by providing a framework that is empirically validated.
Effect of social capital on youth self-employment in Holeta town, Ethiopia
Authors: Belay Daniel 
Published: September 2022

PurposeSocial resources have gained considerable interest from scholars for their effect on youth's labor market outcomes. The available evidence indicates that social capital is a crucial factor in determining youth's labor force status. This paper examines the effect of social capital components on youth self-employment in Holeta town, Ethiopia.Design/methodology/approachUsing youth survey data, principal component analysis (PCA) was conducted on social capital components datasets. This provided the construction of composite indicators for measuring social capital component, which are robust and exhibited construct validity. Following this, the effect of social capital component on youth self-employment was examined using Logit model.FindingsThe results show that institutional trust positively affects the likelihood of young people's decision to be self-employed.Practical implicationsThe finding reveals a need to improve the transparency of the institutions' resource delivery, the competency of the institutions' workforce, communication, and information sharing of the institutions with the youth.Originality/valueLooking at different social capital components simultaneously, the paper provides insight into the wide range of effects of social capital on youth self-employment.
Buyer behaviour and price expectations: a spatial analysis of the Athens residential market
Authors: White Michael , Papastamos Dimitrios 
Published: September 2022

PurposeThis paper examines the price setting behaviour over time and space in the Athens residential market. In periods of house price inflation asking prices are often based upon the last observed highest selling price achieved for a similar property in the same micro-location. However, in a falling market, prices may be rigid downwards and less sensitive to the most recent transaction prices, weakening spatial effects. Furthermore, the paper considers whether future price expectations affect price setting behaviour.Design/methodology/approachThe paper employs a dataset of approximately 24,500 property values from 2007 until 2014 in Athens incorporating characteristics and locational variables. The authors begin by estimating a baseline hedonic price model using property characteristics, neighbourhood amenities and location effects. Following this, a spatio-temporal autoregressive (STAR) model is estimated. Running separate models, the authors account for spatial dependence from historic valuations, contemporaneous peer effects and expectations effects.FindingsThe initial STAR model shows significant spatial and temporal effects, the former remaining important in a falling market contrasting with previous literature findings. In the second STAR model, whilst past sales effects remain significant although smaller, contemporaneous and price expectations effects are also found to be significant, the latter capturing anchoring and slow adjustment heuristics in price setting behaviour.Research limitations/implicationsAs valuations used in the database are based upon comparable sales, then in the recessionary periods covered in the dataset, finding comparables may have become more difficult, and hence this, in turn, may have impacted on valuation accuracy.Practical implicationsIn addition to past effects, contemporaneous transactions and expected future values need to be taken in consideration in analysing spatial interactions in housing markets. These factors will influence housing markets in different cities and countries.Social implicationsThe information content of property valuations should more carefully consider the relative importance of different components of asking prices.Originality/valueThis is the first paper to use transactions data over a period of falling house prices in Athens and to consider current and future values in addition to past values in a spatio-temporal context.
Fighting against white-collar crime: criminology to the aid of management sciences
Authors: Le Maux Julien , Smaili Nadia 
Published: September 2022

Purpose
The purpose of this paper is to provide a review of the literature on white-collar crime that combines the perspectives of criminology and management sciences research.

Design/methodology/approach
Based on a systematic review of white-collar crime recidivism, this paper defines crime and the white-collar criminal from a different perspective. The literature review was conducted using a multidisciplinary approach.

Findings
This paper offers an insightful discussion of white-collar recidivism. In particular, it highlights the interesting use of “Post Conviction Risk Assessment,” a tool used in criminology literature, and aims to show that the probability of recidivism in white-collar crime can be effectively measured and evaluated. This tool is commonly used by American professionals in combatting criminal recidivism.

Originality/value
This study provides interesting insights into white-collar crime recidivism. It has a number of implications for probation officers and criminologists evaluating the recidivism risk of white-collar criminals for reintegration purposes.