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1 – 10 of 465The purpose of this paper is to expand the empirical literature on the association between non-compete agreement (NCA) enforceability and entrepreneurship by investigating how NCA…
Abstract
Purpose
The purpose of this paper is to expand the empirical literature on the association between non-compete agreement (NCA) enforceability and entrepreneurship by investigating how NCA policies affect different types of entrepreneurship with incorporated and unincorporated businesses.
Design/methodology/approach
The authors estimate difference-in-differences regressions based on individual-level data. This allows to control for heterogeneity at the individual level. Additionally, the authors provide graphical evidence using the synthetic control method (SCM).
Findings
The authors' findings show that the decrease in the enforceability of NCAs in Massachusetts resulted in a higher rate of unincorporated entrepreneurship among low-wage workers. At the same time, there was no sizable effect on the rate of incorporated entrepreneurship. For Utah, the authors' results indicate that the reform increased both types of entrepreneurship. The findings imply that states can promote entrepreneurial activity by reducing the enforceability of NCAs. The way of changing the enforceability of NCAs matters, as different provisions encourage different types of entrepreneurship in a given state.
Originality/value
The authors contribute to the literature on NCA enforceability effects on entrepreneurship in three ways. First, the authors utilize two quasi-experiments, the NCA policy changes in Utah in 2016 and Massachusetts in 2018, limiting NCAs to one year for all workers. Second, to the authors' knowledge, this is the first individual-level analysis that separates self-employment with incorporated and unincorporated businesses as two different types of entrepreneurship to analyze potentially heterogeneous effects of NCAs. Third, this is the first study to utilize American Community Survey (ACS) data in this literature.
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Jiuping Xu and Yi Lu
External assistance is often urgently required when an area is struck by a catastrophe. Central government-oriented aid (CGA), national non-governmental organizations aid (NNA)…
Abstract
Purpose
External assistance is often urgently required when an area is struck by a catastrophe. Central government-oriented aid (CGA), national non-governmental organizations aid (NNA), and international humanitarian aid (IHA) are three typical aid models, and national counterpart aid (NCA) is an innovative model for post-Wenchuan earthquake recovery and reconstruction (PWERR). The purpose of this paper is to make a comparative study of the aid models in order to develop recommendations on external assistance for better post-disaster recovery and reconstruction (PDRR).
Design/methodology/approach
This study was performed in three steps: a case study on the NCA model during the PWERR; a documentary research on the CGA, NNA and IHA models; and a comparative analysis of the four models.
Findings
The results of the comparative study show that the NCA model is more efficient and effective than the other three typical aid models. However it must be based on the premise of a centralized government.
Practical implications
The NCA model contributes to disaster management in a developing country context. It develops a viable model for developing countries in coping with the catastrophe, can enhance their ability for domestic self-assistance, and has reference to the construction of national integrated disaster management systems.
Originality/value
This paper empirically researches the innovative NCA model, and compares it with commonly used aid models for the PDRR. Although it is a Chinese experience, the systematic inter-governmental collaboration of the NCA model has reference to other countries in disaster management.
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Nicole Franziska Richter, Sandra Schubring, Sven Hauff, Christian M. Ringle and Marko Sarstedt
This research introduces the combined use of partial least squares–structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) that enables researchers to…
Abstract
Purpose
This research introduces the combined use of partial least squares–structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) that enables researchers to explore and validate hypotheses following a sufficiency logic, as well as hypotheses drawing on a necessity logic. The authors’ objective is to encourage the practice of combining PLS-SEM and NCA as complementary views of causality and data analysis.
Design/methodology/approach
The authors present guidelines describing how to combine PLS-SEM and NCA. These relate to the specification of the research objective and the theoretical background, the preparation and evaluation of the data set, running the analyses, the evaluation of measurements, the evaluation of the (structural) model and relationships and the interpretation of findings. In addition, the authors present an empirical illustration in the field of technology acceptance.
Findings
The use of PLS-SEM and NCA enables researchers to identify the must-have factors required for an outcome in accordance with the necessity logic. At the same time, this approach shows the should-have factors following the additive sufficiency logic. The combination of both logics enables researchers to support their theoretical considerations and offers new avenues to test theoretical alternatives for established models.
Originality/value
The authors provide insights into the logic, assessment, challenges and benefits of NCA for researchers familiar with PLS-SEM. This novel approach enables researchers to substantiate and improve their theories and helps practitioners disclose the must-have and should-have factors relevant to their decision-making.
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In this paper, the authors aim to present a novel methodological tool – necessary condition analysis (NCA) to aid managerial psychology researchers in properly testing necessity…
Abstract
Purpose
In this paper, the authors aim to present a novel methodological tool – necessary condition analysis (NCA) to aid managerial psychology researchers in properly testing necessity statements.
Design/methodology/approach
The authors employ NCA to analyze whether three basic psychological needs for autonomy, competence and relatedness are necessary for work engagement.
Findings
The authors illustrate the value and application of NCA by revealing that basic psychological needs for autonomy, competence and relatedness are necessary for work engagement, as proposed by self-determination theory (SDT).
Originality/value
The authors illustrate the importance of the sufficiency-necessity distinction and the relevance of a necessity logic in managerial psychology. They also discuss NCA's methodological implications for managerial psychology research, theory and practice.
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The purpose of this paper is to compare three cultural approaches from anthropology and business literature: National Culture Approach (NCA), Corporate Culture Approach (CCA), and…
Abstract
Purpose
The purpose of this paper is to compare three cultural approaches from anthropology and business literature: National Culture Approach (NCA), Corporate Culture Approach (CCA), and Transactional Culture Approach (TCA). The author grounds these approaches in different epistemological standpoints and locate them at different positions on the unity-infinity continuum. The author outlines their strengths and weaknesses, and offer the Douglasian Cultural Framework (DCF) as a transactional tool for cultural sense-making.
Design/methodology/approach
Reviewing conventional NCA/CCA frameworks reveals that while their simplicity renders them attractive to users, their assumption of stable, internally homogenous and coherent cultures has its limitations. Conversely, reviewing anthropology-based TCA literature reveals that while TCA overcomes some limitations of NCA/CCA frameworks, it also has its weaknesses – it overemphasizes “self-interest” as the preferred form of rationality, and some TCA scholars render cultural comparisons impossible by supporting cultural infinity. Finally, examining DCF reveals that it overcomes some limitations of NCA/CCA frameworks, while simultaneously advancing TCA. Nevertheless, DCF too has limitations which are also exposed.
Findings
Most NCA/CCA scholars support the “unity” argument of culture, while some transactional scholars support the “infinity” argument. DCF finds a perfect balance between the two through “constrained relativism”. Also, since DCF focuses on human transactions, it is not limited in its applications to specific levels and scales. It can therefore be applied to scenarios spanning across levels and scales. Finally, it offers a compromise between the differentiation and fragmentation perspectives of corporate culture, and brings out the best of the interpretivist and post-modernistic traditions.
Research limitations/implications
The exposition of DCF opens up new avenues for research which have hitherto remained unexplored for want of appropriate frameworks, for instance the UN Peace Corps., NATO, Medecins Sans Frontiers, etc.
Originality/value
By focusing on human transactions, the paper allows for a much more dynamic conceptualization of culture as compared to static NCA/CCA frameworks.
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This paper discusses flip chip on FR‐4 and ceramics using non‐conductive adhesive (NCA), anisotropic conductive film (ACF), or anisotropic conductive paste (ACP). Several ACF and…
Abstract
This paper discusses flip chip on FR‐4 and ceramics using non‐conductive adhesive (NCA), anisotropic conductive film (ACF), or anisotropic conductive paste (ACP). Several ACF and ACP materials with different types of adhesive resin and conductive particles and one NCA material were evaluated. Flip chips were assembled on test vehicles for temperature cycling and high‐temperature high‐humidity tests. The reliability performance of the processes was compared. Flip chip processes using NCA, ACF, or ACP could give satisfactory reliability and high assembly yield for some applications, when the bonding parameters were optimised.
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Tinna Dögg Sigurdardóttir, Lee Rainbow, Adam Gregory, Pippa Gregory and Gisli Hannes Gudjonsson
The present study aims to examine the scope and contribution of behavioural investigative advice (BIA) reports from the National Crime Agency (NCA).
Abstract
Purpose
The present study aims to examine the scope and contribution of behavioural investigative advice (BIA) reports from the National Crime Agency (NCA).
Design/methodology/approach
The 77 BIA reports reviewed were written between 2016 and 2021. They were evaluated using Toulmin’s (1958) strategy for structuring pertinent arguments, current compliance with professional standards, the grounds and backing provided for the claims made and the potential utility of the recommendations provided.
Findings
Consistent with previous research, most of the reports involved murder and sexual offences. The BIA reports met professional standards with extremely high frequency. The 77 reports contained a total of 1,308 claims of which 99% were based on stated grounds. A warrant and/or backing was provided for 73% of the claims. Most of the claims in the BIA reports involved a behavioural evaluation of the crime scene and offender characteristics. The potential utility of the reports was judged to be 95% for informative behavioural crime scene analysis and 40% for potential new lines of enquiry.
Practical implications
The reports should serve as a model for the work of behavioural investigative advisers internationally.
Originality/value
To the best of the authors’ knowledge, this is the first study to systematically evaluate BIA reports commissioned by the NCA; it adds to previous similar studies by evaluating the largest number of BIA reports ever reviewed, and uniquely provides judgement of overall utility.
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Subhash Yaragal, Chethan Kumar B. and Manoj Uddavolu Abhinav
To reduce environmental impact caused by excessive use of ordinary Portland cement (OPC) and to mitigate scarcity of base materials such as natural coarse aggregate (NCA)…
Abstract
Purpose
To reduce environmental impact caused by excessive use of ordinary Portland cement (OPC) and to mitigate scarcity of base materials such as natural coarse aggregate (NCA), industrial by-products can be carefully used as alternatives to OPC and NCA, in production of concrete. This paper aims to describe the performance of using ground granulated blast furnace slag (GGBS), fly ash (FA) as a complete replacement to OPC and ferrochrome slag (FCS) as replacement to NCA in production of novel FCS based alkali activated slag/fly ash concretes (AASFC) and evaluate their performance at elevated temperatures.
Design/methodology/approach
Two control factors with three levels each i.e. FA (0, 25 and 50 per cent by weight) and FCS (0, 50 and 100 per cent by volume) as a GGBS and NCA replacement, respectively, were adopted in AASFC mixtures. Further, AASFC mixture specimens were subjected to different levels of elevated temperature, i.e. 200°C, 400°C, 600°C and 800°C. Compressive strength and residual compressive strength were considered as responses. Three different optimization techniques i.e. gray relational analysis, technique for order preference by similarity to ideal solution and Desirability function approach were used to optimize AASFC mixtures subjected to elevated temperatures.
Findings
As FA replacement increases in FCS based AASFC mixtures, workability increases and compressive strength decreases. The introduction of FCS as replacement to NCA in AASFC mixture did not show any significant change in compressive strength under ambient condition. AASFC produced with 75 per cent GGBS, 25 per cent FA and 100 per cent FCS was found to have excellent elevated temperature enduring properties among all other AASFC mixtures studied.
Originality/value
Although several studies are available on using GGBS, FA and FCS in production of OPC-based concretes, present study reports the performance of novel FCS based AASFC mixtures subjected to elevated temperatures. Further, GGBS, FA and FCS used in the present investigation significantly reduces CO2 emission and environmental degradation associated with OPC production and NCA extraction, respectively.
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This paper aims to show how financial services firms determine whether customer transactions or behaviours meet the threshold for suspicious activity reporting mandated by the…
Abstract
Purpose
This paper aims to show how financial services firms determine whether customer transactions or behaviours meet the threshold for suspicious activity reporting mandated by the Terrorism Act 2000 and the Proceeds of Crime Act 2002, and how suspicious activity reporting is executed in practice.
Design/methodology/approach
Semi-structured interviews have been carried out among compliance professionals in UK financial services.
Findings
Two issues related to suspicious activity reporting have been identified. Firstly, a widespread misunderstanding about the tipping-off offence under s. 333 Proceeds of Crime Act 2002 has been identified, which appears to be a root cause for poor quality as well as over-reporting of suspicious activity. Secondly, issues related to the notice and moratorium periods used by the UK’s National Crime Agency appear to deter reporting of suspicious activity related to live transactions.
Practical implications
The paper makes suggestions for changes financial services firms and the UK’s National Crime Agency can make to improve the effectiveness of suspicious activity reporting.
Originality/value
The paper provides valuable insights which can be used to limit the flow of criminal funds, improve the quality of suspicious activity reporting and enhance the effectiveness of law enforcement agencies.
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Rui Li, Zhanwen Niu, Chaochao Liu and Bei Wu
Given the complexity of building information modeling (BIM) adoption decisions in small- and medium-sized enterprises (SMEs) in the Architecture, Engineering and Construction…
Abstract
Purpose
Given the complexity of building information modeling (BIM) adoption decisions in small- and medium-sized enterprises (SMEs) in the Architecture, Engineering and Construction (AEC) industry, understanding BIM adoption decision-making through the net effect of a single factor on BIM adoption decisions alone is limited. Therefore, this paper analyzed the co-movement effect of managers' psychological factors on the BIM adoption decisions from the perspective of managers' perceptions. The purpose is to let managers have a deep understanding of their BIM adoption decisions, and put forward targeted suggestions for the AEC industry to promote the adoption of BIM by SMEs.
Design/methodology/approach
Data from 192 managers in SMEs collected by the questionnaire were used in a fuzzy set qualitative comparative analysis (fsQCA). Due to the limitations of fsQCA in making the best use of the data used, as a complement to fsQCA, necessary conditions analysis (NCA) was used to analyze the extent to which necessary conditions influenced the outcome.
Findings
(1) NCA analysis shows that high perceived resource availability (PRA) and high performance expectancy (PE) are necessary conditions for high BIM adoption intention (AI). (2) fsQCA analysis shows that high PE is the single core condition for high AI. fsQCA analysis identifies three configurations of managers' psychological factors, reflecting three types of managers' decision preferences, namely benefit preference, loss aversion and risk avoidance, respectively. Different decision preferences may lead to different BIM adoption strategies, such as full in-house use, partial in-house/outsourcing and full outsourcing of BIM processes. (3) High perceived risk (PR) and low perceived business value of BIM (PBV) are the core conditions for low AI.
Originality/value
This paper expands on the application of fsQCA to context of BIM adoption decisions. Based on the results of fsQCA analysis, this paper also establishes the relationship between managers' decision-making psychology and BIM adoption strategy choice and analyzes the impact of different decision biases on BIM adoption strategy choice. It concludes with suggestions for encouraging managers to adopt BIM and for avoiding decision-making bias.
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