Evolution of national heritage inventories for Scotland and Wales

Author(s):  
Peter McKeague ◽  
David Thomas

Purpose – The purpose of this paper is to present a review of the origins and development of national inventories in Scotland and Wales from paper-based records to digital databases. The impact of digital technologies on data management and dissemination is considered. Design/methodology/approach – Exploring the evolution of historic environment inventories in Scotland and Wales highlights the common issues faced and solutions adopted. In considering the longue durée, the durability and flexibility of information is highlighted. Findings – Inventories may combine locational, descriptive and visual material to help document a fragile, finite and non-renewable resource. They provide the evidence base for decision making and stewardship in managing change, stimulating interest in and valuing the historic environment. Contribution to recognised inventories should be a requirement for activities documenting the historic environment. Digital technologies shape the expectations of a modern inventory and associated digital archives, with emphasis placed on the repurposing of inventory contents so that they can better contribute to an information network serving multiple audiences. Social implications – Transformation from paper records to digital data has radically enhanced and democratised access to knowledge about the historic environment. Digital delivery helps place heritage data within mainstream societal activities and fosters public interest and engagement in the historic environment. Originality/value – Inventories are the foundation building blocks of informed decision making. Digital technologies have transformed these resources to help place the historic environment within mainstream societal activities and interest.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aurora Abruzzini ◽  
Sepehr Abrishami

Purpose At the end of a building’s lifecycle, there are several limitations to the decision-making process (DMP). There is a lack of data available from the building’s history, the difficulty in assessing the condition of a building and the variety of stakeholders’ needs that have to be satisfied. The purpose of this paper is to answer the question: how would end-of-life (EOL) DMP change when buildings will have been digitally built? The answer will be illustrated through a conceptual framework. Design/methodology/approach A qualitative analysis of the existing literature has been performed to identify the elements within building information modelling (BIM) and advanced digital technologies that could be of support to the DMP. The findings have been collected and summarised in a conceptual framework that has been validated and enhanced through online interviews with industry experts. Findings The enhanced framework has identified that BIM technology would bring the benefit of providing the initial digital data source, from which machine learning and data analytics would then extract the relevant data needed to measure accurately the criteria during the analysis of the EOL options put on the table. Originality/value The findings of this research could contribute to developing the software modules making the bridge between BIM and machine learning technologies, to implement them in the EOL DMP.


2019 ◽  
Vol 9 (3) ◽  
pp. 319-328
Author(s):  
Ian Pepper ◽  
Ruth McGrath

Purpose The purpose of this paper is to evaluate the impact of an employability module, the College of Policing Certificate in Knowledge of Policing (CKP), on students’ career aspirations, their confidence and wish to join the police along with the appropriateness of the module. This will inform the implementation of employability as part of the College of Policing-managed Police Education Qualifications Framework (PEQF). Design/methodology/approach A three-year longitudinal research study used mixed methods across four points in time to evaluate the impact on students studying the employability module. Findings The research suggests that the employability-focussed CKP was useful as an introduction to policing, it developed interest in the police and enhanced the confidence of learners applying to join. Lessons learnt from the CKP should be considered during the implementation of the PEQF. Research limitations/implications The ability to generalise findings across different groups is limited as other influences may impact on a learner’s confidence and employability. However, the implications for the PEQF curriculum are worthy of consideration. Practical implications As the police service moves towards standardised higher educational provision and evolution of policing as a profession, lessons can be learnt from the CKP with regards to the future employability of graduates. Originality/value Enhancing the employability evidence base, focussing on policing, the research identified aspects which may impact on graduates completing a degree mapped to the PEQF. The research is therefore of value to higher education and the professional body for policing.


2014 ◽  
Vol 7 (3) ◽  
pp. 226-250 ◽  
Author(s):  
Said Elbanna ◽  
Ioannis C. Thanos ◽  
Vassilis M. Papadakis

Purpose – The purpose of this paper is to enhance the knowledge of the antecedents of political behaviour. Whereas political behaviour in strategic decision-making (SDM) has received sustained interest in the literature, empirical examination of its antecedents has been meagre. Design/methodology/approach – The authors conducted a constructive replication to examine the impact of three layers of context, namely, decision, firm and environment, on political behaviour. In Study 1, Greece, we gathered data on 143 strategic decisions, while in Study 2, Egypt, we collected data on 169 strategic decisions. Findings – The evidence suggests that both decision-specific and firm factors act as antecedents to political behaviour, while environmental factors do not. Practical implications – The findings support enhanced practitioner education regarding political behaviour and provide practitioners with a place from which to start by identifying the factors which might influence the occurrence of political behaviour in SDM. Originality/value – The paper fills important gaps in the existing research on the influence of context on political behaviour and delineates interesting areas for further research.


2016 ◽  
Vol 54 (7) ◽  
pp. 1649-1668 ◽  
Author(s):  
Petru Lucian Curseu ◽  
Sandra G. L. Schruijer ◽  
Oana Catalina Fodor

Purpose – The purpose of this paper is to test the influence of collaborative and consultative decision rules on groups’ sensitivity to framing effect (FE) and escalation of commitment (EOC). Design/methodology/approach – In an experimental study (using a sample of 233 professionals with project management experience), the authors test the effects of collaborative and consultative decision rules on groups’ sensitivity to EOC and FE. The authors use four group decision-making tasks to evaluate decision consistency across gain/loss framed decision situations and six decision tasks to evaluate EOC for money as well as time as resources previously invested in the initial decisions. Findings – The results show that the collaborative decision rule increases sensitivity to EOC when financial resources are involved and decreases sensitivity to EOC when time is of essence. Moreover, the authors show that the collaborative decision rule decreases sensitivity to FE in group decision making. Research limitations/implications – The results have important implications for group rationality as an emergent group level competence by extending the insights concerning the impact of decision rules on emergent group level cognitive competencies. Due to the experimental nature of the design, the authors can probe the causal relations between the investigated variables, yet the authors cannot generalize the results to other settings. Practical implications – Managers can use the insights of this study in order to optimize the functioning of decision-making groups and to reduce their sensitivity to FEs and EOC. Originality/value – The study extends the research on group rationality and it is one of the few experimental attempts used to understand the role of decision rules on emergent group level rationality.


2021 ◽  
pp. 1-15
Author(s):  
Constantina Costopoulou ◽  
Maria Ntaliani ◽  
Filotheos Ntalianis

Local governments are increasingly developing electronic participation initiatives, expecting citizen involvement in local community affairs. Our objective was to assess e-participation and the extent of its change in local government in Greece. Using content analysis for 325 Greek municipal websites, we assessed e-participation status in 2017 and 2018 and examined the impact of change between these years. The assessment regards two consecutive years since the adoption of digital technologies by municipalities has been rapid. The main findings show that Greek local governments have made significant small- to medium-scale changes, in order to engage citizens and local societies electronically. We conclude that the integration of advanced digital technologies in municipalities remains underdeveloped. We propose that Greek municipalities need to consider incorporating new technologies, such as mobile apps, social media and big data, as well as e-decision making processes, in order to eliminate those obstacles that hinder citizen engagement in local government. Moreover, the COVID-19 outbreak has highlighted the need for enhancing e-participation and policymakers’ coordination through advanced digital technologies.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Duygu Akçay ◽  
Nuray Barış

Purpose The purpose of this paper is to evaluate the impact of interventions focused on reducing screen time in children. Design/methodology/approach Studies that aim to investigate the effects of interventions aimed at reducing the time spent in front of the screen (i.e. screen time). A Random-effects model was used to calculate the pooled standard mean differences. The outcome was to evaluate the screen time in children in the 0–18 age range. A subgroup analysis was performed to reveal the extent to which the overall effect size varied by subgroups (participant age, duration of intervention and follow). Findings For the outcome, the meta-analysis included 21 studies, and the standard difference in mean change in screen time in the intervention group compared with the control group was −0.16 (95% confidence interval [CI], −0.21 to −0.12) (p < 0.001). The effect size was found to be higher in long-term (=7 months) interventions and follow-ups (p < 0.05). Originality/value Subgroup analysis showed that a significant effect of screen time reduction was observed in studies in which the duration of intervention and follow-up was =7 months. As the evidence base grows, future researchers can contribute to these findings by conducting a more comprehensive analysis of effect modifiers and optimizing interventions to reduce screen time.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saadat Nakyejwe Lubowa Kimuli ◽  
Kasimu Sendawula ◽  
Shakilah Nagujja

PurposeThe purpose of the study was to explore the intention of micro and small enterprises’ (MSEs) owners to adopt digital technologies as a strategy to catalyze sustainable growth of Uganda's economy.Design/methodology/approachThis study adopted a qualitative, multi-case design. The unit of inquiry consisted of business owners operating in St. Balikuddembe Market, Kampala, Uganda. They were interrogated to explore their intention to adopt digital technologies during the total lockdown as a strategy to sustainably operate their businesses.FindingsA total of four major themes emerged from the data analysis process and these are the impact of coronavirus disease 2019 (COVID-19) on business operations, awareness of digital technologies, usage of digital technologies and intention to use more digital technologies.Practical implicationsThe findings of the study shed light on what policymakers, digital service providers and business owners can do to improve uptake of digital technologies among MSEs in Uganda.Originality/valueThis study contributes to the extant literature on digital technologies in MSEs using evidence from Uganda's informal sector. The results of the study may catalyze uptake of digital technologies as policymakers and digital service providers will devise appropriate strategies that will enable business owners to integrate these technologies into their business operations.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Emilio Paolucci ◽  
Elena Pessot ◽  
Riccardo Ricci

PurposeThis paper aims to investigate the effect of specific subsets of digital technologies and governance mechanisms (i.e. relational and contractual) on the efficiency of the automotive supply chain (SC).Design/methodology/approachBuilding on the Transaction Costs Economic (TCE) theory, and on the literatures on the governance and Digital Transformation of SCs, the research employs a multi-respondent survey on a sample of 101 Italian automotive suppliers. It analyses the interplay between investments in network and physical–digital interface technologies and buyer–supplier relationship governance models in a joint product development effort. The related effects on costs, from the automotive suppliers' perspective, are considered.FindingsThe results confirm the TCE assumptions on governance mechanisms being appropriate to enhance cost performance, but in particular show that digital technologies shape the governance of buyer–supplier relationships with different patterns. The features of synchronisation and accessibility, as ensured by network technologies, are found to strengthen the impact of contractual governance, while the adoption of physical–digital interface technologies, and their enhanced features of virtualisation and traceability, further enhance the impact of relational governance on the efficiency improvements of suppliers.Practical implicationsSC actors need to recognise the importance of long-term collaboration and superior coordination through investments in specific subsets of digital technologies, to ensure a higher product and production data codifiability, transparency and thus integration at both an intra- and an inter-firm level.Originality/valueThis study is one of the first to have considered Digital Transformation in SCs from the suppliers' perspective and its implications on the efficiency of relationship governance with buyers.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mukesh Pal ◽  
Hemant Gupta ◽  
Yogesh C. Joshi

PurposeWomen empowerment becomes an important policy discussion in development economics and modernization theory. The empowerment of women can lead to an increase in the quality viz-a-viz the capacity of human resources accessible for economic development. The purpose of this study is to evidence the impact of social and economic dimensions on women empowerment through financial inclusion in rural India.Design/methodology/approachTo reveal the research objective, the study has utilized a primary survey of women respondents from the Gujarat state of India by a simple random sampling method and applied a logistic regression approach to identify the relationship between the need of a bank account (determinant of financial inclusion) as a dependent variable and social and economic dimensions of women empowerment such as earning status, participation in financial decision-making, recipient of social welfare schemes and perception towards the safety of saving as independent variables.FindingsThe results of this study show that earning status, participation in financial decision-making at household level and recipient of social welfare schemes by women have a significant impact on women empowerment through financial inclusion; however, safety of their savings is observed as an insignificant variable, yet the odd value is very high (2.437) in the present study.Originality/valueThe present study is the first of its kind to examine the social and economic status of women and its impact on their requirement of a formal bank account for the overall empowerment of women in rural India.


2017 ◽  
Vol 32 (2) ◽  
pp. 93-103
Author(s):  
Amit K. Ghosh

Purpose The constantly changing prices, promotions, and packaging options have made decision making more complex for consumers of packaged goods. The purpose of this paper is to explore how price and promotions influence consumer propensity to buy a certain package size. Design/methodology/approach Scanner panel data for shelf-stable salad dressing obtained from Information Resources Inc. were used to compute the proportion of large packages bought, the relative price paid for large packages, propensity to use various types of promotions, and a behavioral covariate for each household. Data of over 5,600 households were analyzed using a multiple regression analysis for hypothesis testing. Findings The positive nature of relationship between the relative price of large packages and the proportion of large packages bought demonstrates the suboptimal nature of consumer decision making. The inefficiency is partially attributable to the abundance of promotions, to consumers’ lack of price awareness, and to the use of heuristics by consumers. Also, consumers who are prone to use promotions such as displays and temporary price reductions tend to purchase larger packages. They are more likely to buy impulsively and base their decisions on heuristics. In contrast, consumers who are influenced by featured price cuts and who utilize coupons tend to purchase smaller packages. Research limitations/implications Data were obtained from grocery stores; only a single product category was studied. Practical implications Offer coupons and advertise featured price cuts on small packages to increase the sales of smaller packages. To move large packages successfully, retailers should rely more on in-store displays and temporary price reductions. Originality/value The impact of price and promotions on package size propensity has never been investigated. This study is also one of the few that uses a household-level analysis based on observable purchase data for consumer packaged goods.


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