Research studies provide evidence of large number of Enterprise Resource Planning (ERP) projects implementation failures. Even then organizations are shifting their strategic focus on ERP to gain ...various tangible benefits. The key objective of this research study is to develop a strategy based on empirical evidences to overcome the issues of ERP implementations failure for developing countries like Pakistan. The mixed method of research with sequential strategy has been used to explore and explain the realities behind success and failure of ERP implementation. In the first phase of the research, qualitative data has been gathered through extensive literature review and interviews. NVivo 10 software has been used to explore the critical success factors of ERP implementation. In the 2nd phase of the research, surveys have conducted. SPSS 20 tool has been used for applying exploratory factor analysis and then Partial Least Square based Structural Equation Modelling (PLS-SEM) with Smart PLS 3 has been used to know the existence and strength of relationship between dependent and independent variables identified in the study. It has been found that Commitment by the Top Management, Project-Management, Change Management, Business Process Re-Engineering have strong relationship with the successful implementation of ERP, whereas Training-education and Vendor management have been found to be less significant for the ERP implementation success. This study has provided a great contribution for the recipient client organizations, ERP implementers, ERP vendors and Consultants intending to join the implementation cluster. The
implementation strategy was validated through a case study in public sector organization which gave encouraging results.
This paper contributes to a critical methodological discussion that has direct ramifications for policy studies: how computational methods can be concretely incorporated into existing processes of ...textual analysis and interpretation without compromising scientific integrity. We focus on the computational method of topic modeling and investigate how it interacts with two larger families of qualitative methods: content and classification methods characterized by interest in words as communication units and discourse and representation methods characterized by interest in the meaning of communicative acts. Based on analysis of recent academic publications that have used topic modeling for textual analysis, our findings show that different mixed‐method research designs are appropriate when combining topic modeling with the two groups of methods. Our main concluding argument is that topic modeling enables scholars to apply policy theories and concepts to much larger sets of data. That said, the use of computational methods requires genuine understanding of these techniques to obtain substantially meaningful results. We encourage policy scholars to reflect carefully on methodological issues, and offer a simple heuristic to help identify and address critical points when designing a study using topic modeling.
本文为一项重要的方法讨论做出了贡献，并可以直接影响政策研究，即如何在不损害科学完整性的情况下，将计算方法具体地纳入现有的文本分析和解读过程中。我们将重点放在主题建模（TM）的计算方法，并研究它如何与以下两类定性方法相互作用：其一为内容和分类方法，其特点是对作为交流单位的词语感兴趣；其二为话语和表征方法，这种方法专注于交流行为的含义。通过分析最近使用主题建模进行文本分析的学术文献，我们发现，将TM与两组方法相结合时，我们应该采用不同的混合方法进行研究设计。我们的主要结论是，主题建模能够帮助研究学者将政策理论和概念应用到更大的数据集。尽管如此，使用计算方法时需要真正理解这些方法才能取得实质上有意义的成果。我们鼓励政策研究者仔细思考方法问题，并提供一种简单的启发式算法，以识别和解决在设计主题建模研究时遇到的关键问题。
The technological development e.g. in terms of Industry 4.0 is moving rapidly enabling manufacturing companies with new possibilities for digital transformations to offer products and services to ...current and new markets at competitive costs. A mixed-method approach is used to investigate the drivers and barriers for Industry 4.0 readiness and practice among Danish small and medium-sized manufacturers. Data is based on a questionnaire-survey among 190 manufacturers about their readiness for digitalized manufacturing and their actual practice in this area. A main finding is that it is the managers' lack of perceiving Industry 4.0 drivers, not their perceptions of high Industry 4.0 barriers that obstruct SMEs' development of Industry 4.0 readiness and their application of Industry 4.0 technologies. Using these insights provide four more nuanced interpretations of the significance of the Industry 4.0 challenges faced by the four case companies. The finding that SMEs seem to engage positively with Industry 4.0 barriers, when there is perceived a business case to do so, has important consequences for our understanding of the inertial dynamics surrounding SMEs' Industry 4.0 application, and consequently for guiding policy initiatives to promote Industry 4.0 adaptation among SMEs.
Big data analytics has been widely regarded as a breakthrough technological development in academic and business communities. Despite the growing number of firms that are launching big data ...initiatives, there is still limited understanding on how firms translate the potential of such technologies into business value. The literature argues that to leverage big data analytics and realize performance gains, firms must develop strong big data analytics capabilities. Nevertheless, most studies operate under the assumption that there is limited heterogeneity in the way firms build their big data analytics capabilities and that related resources are of similar importance regardless of context. This paper draws on complexity theory and investigates the configurations of resources and contextual factors that lead to performance gains from big data analytics investments. Our empirical investigation followed a mixed methods approach using survey data from 175 chief information officers and IT managers working in Greek firms, and three case studies to show that depending on the context, big data analytics resources differ in significance when considering performance gains. Applying a fuzzy-set qualitative comparative analysis (fsQCA) method on the quantitative data, we show that there are four different patterns of elements surrounding big data analytics that lead to high performance. Outcomes of the three case studies highlight the inter-relationships between these elements and outline challenges that organizations face when orchestrating big data analytics resources.
An increasing number of immigrant students attend Italian schools, with the possibility of being involved in bullying episodes. A few studies have investigated this phenomenon, providing some ...evidence that immigrant students may face an increased risk of being bullied compared to native‐born students. The present study adopted a mixed‐method design, which may better detect the dynamics of bullying towards immigrant peers. Participants were 692 native‐born and immigrant students (20.5% with immigrant background; 54.8% females) who filled in self‐report measures about their bullying experiences, popularity, acceptance of diversity at school, and prejudice. Thirty‐five pupils (54% with immigrant background) were also interviewed. Two hypothetical bullying scenarios were presented: one depicting a native‐born victim and one depicting an immigrant victim. After each scenario, adolescents were encouraged to reason about the motives for bullying. Quantitative data showed that general bullying was associated with perceived popularity status among peers, while racial bullying was associated with prejudice but not peer status. The relevance of anti‐immigrant prejudices in driving racial bullying emerged also from adolescents’ interviews. The qualitative data indicated that among the reasons for bullying, adolescents mentioned a desire for dominance and popularity, in particular when the victim was non‐immigrant. Findings suggest that, in addition to individual and peer group‐related risk factors, prejudice also needs to be addressed in anti‐bullying interventions aimed to counteract racial bullying.
Critical failure factors (CFFs) are the key factors where "things must go wrong" for the I4.0 implementation to be a failure or that do not meet the intended objectives. CFFs provide a set of ...indicators or identifiable conditions so that problems can be identified and addressed before they fail. This article uses an exploratory sequential mixed method design to investigate the CFFs for I4.0. In the first explorative qualitative phase, 26 senior managers participated through a purposive sampling frame. The article finds ten CFFs: lack of I4.0 strategy, absence of well-designed smart product/service systems, lack of digital supply chains, leadership is not supportive for I4.0, poor human resource management for I4.0, absence of I4.0 technology transformation management plan, I4.0 is not implemented totally, lack of top management support for I4.0, poor change management strategies in place, and inadequate consideration of sustainability in I4.0 initiative. In the second quantitative phase, 156 senior managers participated in an online survey. Exploratory factor analysis (EFA), confirmatory factor analysis, and ranking of CFFs were carried out. The findings on CFFs will help the practitioners and organizations to identify, monitor, and control these factors while implementing I4.0. Moreover, a good understanding of the failure factors will help organizations to avoid the failure in the implementation of I4.0.
Objectives
Cognitive processes, such as schema modes and cognitive distortions, may play a role in the genesis and maintenance of affective, interpersonal, and behavioral difficulties in individuals ...with Borderline Personality Disorder (BPD). This study aimed at exploring the schema modes and cognitive distortions in individuals with BPD.
Methods
Using a mixed‐method approach, 30 individuals with BPD and 30 healthy participants were assessed on the Borderline Personality Questionnaire, the Schema Mode Inventory, the Cognitive Distortions Scale, and a semi‐structured interview schedule.
Results
The BPD group had higher scores than the control group on all the maladaptive schema modes and cognitive distortions subscales. The child modes were the commonest and were also the strongest correlate of BPD symptomatology. Qualitative analysis of the content of the semi‐structured interview also corroborated these findings.
Conclusions
There could be many schema modes and cognitive distortions operating behind the diverse psychopathology seen in BPD.
Aims and Objectives
To evaluate the influence of an ageing simulation intervention on qualified acute care nurses' empathy towards older people.
Background
Life expectancy is increasing globally with ...an increased incidence of older people accessing healthcare services. As such, it is essential for qualified nurses within hospital settings to connect with older people by establishing healthful relationships. Empathy is an essential component of healthful nurse‐patient relationships. Fortunately, empathy can be taught through education.
Design
A convergent mixed‐methods design was utilised.
Methods
Nurses (N = 95) undertook an 8‐hour ageing simulation intervention. Data were collected from April 2019 to May 2020 across three time points: before the intervention (T0); immediately after (T1) and at three months follow‐up (T2). A mix of convenience (intervention) and purposeful (follow‐up) sampling techniques were utilised. Quantitative data were collected via the Interpersonal Reactivity Index survey (n = 86) and analysed using repeat measures ANOVA to compare mean scores across time points. Qualitative data were collected via debriefing discussions (N = 95) and focus groups (n = 38), and analysed using a systematic thematic analysis method. Data convergence occurred during the interpretation phase. Study reported with the TREND checklist.
Results
Primarily, when quantitative and qualitative findings were merged they confirmed each others' empathy outcomes. Quantitative results showed a statistically significant increase in affective and cognitive empathy levels among nurses post‐intervention. Qualitative findings expanded on quantitative results and revealed an increase in nurses' affective, cognitive and behavioural empathy represented in themes ‘enhancing my empathy’, ‘impact of ageing’, ‘from self to others’ and ‘person‐centred moments’.
Conclusions
This study adds empirical evidence how a mixed‐methods design can be used to evaluate the influence of an ageing simulation intervention on nurses' empathy levels.
Relevance to clinical practice
Ageing simulation interventions are a suitable experiential educational approach to improve acute care nurses' affective, cognitive and behavioural empathy towards older people.
Cultural values and definitions of career success Benson, George S.; McIntosh, Cheryl K.; Salazar, Maritza ...
Human resource management journal,
July 2020, 2020-07-00, 20200701, Letnik:
30, Številka:
3
Journal Article
Recenzirano
This paper examines how national culture relates to the ways that individuals define career success. Data are drawn from interviews with 269 professional services employees in 15 countries. ...Interviews are content coded and linked with country‐level Global Leadership and Organizational Behavior Effectiveness measures of cultural values. We test our hypotheses using a multilevel multinomial logit model. The results demonstrate that the ways in which employees define career success vary across countries, due in part to differences in cultural values after controlling for gender, occupation, job level, and national economic development. We find that employees from countries high in future orientation, uncertainty avoidance, and performance orientation are more likely to define career success in terms of interpersonal outcomes, and those from countries high in collectivism (institutional and in‐group), humane orientation, and gender egalitarianism are more likely to prefer intrapersonal outcomes. We find that employees from countries that are high in assertiveness, uncertainty avoidance, and performance orientation are more likely to define career success in terms of achievement‐oriented outcomes. Finally, we find that employees from countries high in power distance report career success definitions in terms of safety and security outcomes. We discuss the implications of these findings for theories of cultural differences in careers across countries.
The purpose of this paper is to contribute to the scientific debate on Quality 4.0 by exploring the main theoretical themes underpinning the Quality 4.0 model and how the model may be developed. An ...exploratory sequential mixed methods design was employed to study two different samples of Italian manufacturing companies over two phases. For each sample, a different questionnaire was distributed to the companies' quality managers. As a result, eleven themes were elicited and tested. These themes are related to model development, top management, process mapping, data collection and integration with the enterprise resource planning system, use of artificial intelligence software, machine-to-machine data communication, product identification and traceability, document control and digital skills for quality control staff. A theoretical model for Q4.0 is proposed that encapsulates eleven themes of Q4.0 across three categories- people, process, and technology. Results could be particularly helpful for practitioners who may use them as a guideline for implementing and developing Quality 4.0 in a typical Industry 4.0 environment.
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