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The feasibility and viability appraisal technique is becoming increasingly crucial in the planning systems, theory, applications and outputs for property development and project investments. This paper aims to account for the findings of the practices associated with risk in the feasibility and viability appraisal process. Also, it examines the need for a practical framework for conducting a feasibility and viability appraisal, which can be employed by estate surveyors and valuers in Nigeria

This study adopted purposive sampling techniques to administer 240 sets of questionnaires, out of which 210 sets were well-thought-out to be useable for the analysis after data screening. Statistical package for social sciences (SPSS), structural equation modelling (SEM) and analysis of movement structures (AMOS) were the main analytical tools used to carry out the reliability test, normality test, exploratory factor analysis, confirmatory factor analysis, measurement and structural model.

The analysis results indicated that the P-values of the various forms of concepts of risks in feasibility and viability appraisal process (preparation) for property development and the investment market was statistically significant: technological factor - 0.000; political factor- 0.000 and economic factor- 0.000. However, a non-significant effect was found with socio-environmental factors on the preparation of housing development appraisal with P-value 0.155, and that risk management is neither holistically implemented in the feasibility and viability appraisal process nor extensively taken into cognisance.

This paper reports the results of the practices among estate surveyors and valuers in regarding the risk associated in the preparation stages of the feasibility and viability appraisal process

There are limited studies that suggest risk management factors in the appraisal reports for property development. Although previous studies have identified the risk factors, there is a lack of emphasis on management, which entails identification, assessment, monitoring and control. This study, therefore, recommends the incorporation of risk management into the feasibility and viability appraisal process implemented by estate surveyors and valuers. It is envisaged that the process will protect investors from the potential risk factors associated with investments in property development.

The study highlighted the need for practical or empirical research to be used to assess the significant risk factors that are needed to be reflected in the preparation stages of the feasibility and viability appraisal conduct of estate surveyors and valuers in Abuja, Nigeria.

A survey of investment in new production technology and specific AMT techniques in larger UK firms are described. Though the majority of the responding firms were in the manufacturing sector, some were not. Interestingly, some of these considered that they had invested substantially in new production technology. Companies were also questioned about which factors they considered most important in making investment decisions. These showed an unexpected emphasis on the importance of “intangible” factors. Responses were analysed separately for manufacturing companies belonging to process industries and those classified as belonging to “general manufacturing”. As might have been expected, companies in the latter category had invested more heavily in AMT techniques. However, process industry companies had also invested significantly. Around two‐thirds of companies in the general manufacturing category reported difficulties in assessing the benefits of AMT investment. About a quarter of process industries companies had experienced similar difficulties. However, few companies appeared to have altered their investment appraisal systems to treat AMT investments any differently to ordinary ones, despite the literature that suggests that this may be necessary.

To be utilized effectively in decision-making processes, management accounting (MA) information should fit the business context and at the same time reflect the roles, responsibilities and values of the actors taking part in the decision-making. This study aims to investigate the limitations for MA information utilization in decision-making. In particular, this study explores limitations stemming from the decision-making process structure and the involvement of several managerial actors.

An exploratory case study of an energy company and its customer company illustrates the current challenges in providing and integrating MA information into decision-making. The analysis is focused on the analytical and actor-based features of the decision-making and thus the limitations for MA information utilization. As a part of the broader research process, the researchers facilitated a meeting in the customer company, where the actors relevant to investment decisions discussed the current limitations in utilizing MA information.

Analytical and actor-based features may take different forms in the decision-making. Some relevant MA information may not be included in an organization’s decision-making process structure that allows merely conventional, yet analytical, decision alternatives. At the same time, certain actors’ viewpoints (such as sustainability metrics) can be excluded from the process without considering the logic behind the exclusion. This case study identifies the following limitations, largely related to insufficient actor-based features in the decision-making: managers may lack expertise in the use of MA tools, managerial interaction may lack reflection on taken-for-granted assumptions, different managers may appreciate different scope, content and timing of MA information and the process structure can ignore the required managerial viewpoints.

This study demonstrates that both the decision-making process structure and the needs of the several actors involved may lead to limitations for MA information utilization. Although many limitations stemmed from the insufficient actor-based orientation in the case study, introducing new MA analyses and extending the validity of analytical approaches may also help overcome some of the limitations. Further research should address possibilities to integrate different actors’ viewpoints with MA information already in the decision-making process structure, find ways to introduce MA information on unconventional decision alternatives and enable reflection among and about relevant actors with respect to decision-making. These means could lead to more effective utilization of MA information for decision-making and, consequently, economically viable decisions.

This study addresses the limitations in MA information utilization by combining the viewpoints of analytical decision-making processes and reflective actors, and thus unveils possibilities for enhancing MA practice.

Focuses on the possible benefits and problems generated by the implementation of a post‐auditing (PA) system. This research work was structured as follows: first, an integrated model for the design of a firm PA system has been elaborated, based on the critical re‐elaboration of specialised literature; an empirical investigation (a survey) has been conducted in a sample of large companies operating in Italy, to analyse the most common configurations of PA systems. The aims were: to understand the behaviour of firms, with respect to the design variables identified in the previous section; to identify common patterns and possible correlationships between the solutions adopted in the different parts of the PA system. The results of the empirical analysis show a substantial alignment between the model and the configuration of PA systems implemented by firms (with some important exceptions), which seem to be influenced to a great extent by the objective with which the PA system has been implemented (project performance control vs learning).

Foundry produces cast metal components and parts for various industries and drives manufacturing excellence all over the world. Assuring quality of these components and parts is vital for the end product quality. The complexity in foundry operations increases with the complexity in designs, patterns and geometry and the quality parameters of the casting processes need to be monitored, evaluated and controlled to achieve expected quality levels.

The literature addresses quality improvement in foundry industry primarily focusing on surface roughness, mechanical properties, dimensional accuracy and defects in the cast parts and components which are often affected by numerous process variables. Primary data are collected from the experts working in sand and investment casting processes. The authors perform machine learning analysis of the data to model the quality parameters with appropriate process variables. Further, cluster analysis using k-means clustering method is performed to develop clusters of correlated process variables for sand and investment casting processes.

The authors identified primary process variables determining each quality parameter using machine learning approach. Quality parameters such as surface roughness, defects, mechanical properties and dimensional accuracy are represented by the identified sand-casting process variables accurately up to 83%, 83%, 100% and 83% and are represented by the identified investment-casting process variables accurately up to 100%, 67%, 67% and 100% respectively. Moreover, the prioritization of process variables in influencing the quality parameters is established which further helps the practitioners to monitor and control them within acceptable levels. Further the clusters of process variables help in analyzing their combined effect on quality parameters of casting products.

This study identified potential process variables and collected data from experts, researchers and practitioners on the effect of these on the quality aspects of cast products. While most of the previous studies focus on a very limited process variables for enhancing the quality characteristics of cast parts and components, this study represents each quality parameter as the function of influencing process variables which will enable the quality managers in Indian foundries to maintain capability and stability of casting processes. The models hence developed for both sand and investment casting for each quality parameter are validated with real life applications. Such studies are scarcely reported in the literature.

The purpose of this paper is to define the strategic processes or processes with strategic nature of investment companies (ICs). This goal is achieved by proposing a methodology for selecting strategic processes among the processes of ICs based on the Balanced Scorecard (BSC) framework and the statistical analysis.

Ten leading Iranian Investment Companies (ICs) were selected whose processes represented those in the field. Through administration of a questionnaire, the processes under study were ranked based on their degree of contribution to the IC's strategy.

This paper defines the common ICs' processes based on surveying the literature review. By using the Balanced Scorecard (BSC) framework, ICs are able to define the processes which are critical in achieving organizations' objectives. These processes are ranked based on company strategy using a statistical survey which finally leads to defining strategic processes. Determining strategic processes in business process reengineering (BPR) is of great importance owing to time and budget limitations.

This research is based on multi case studies. It therefore has its limitations which should be taken into consideration in interpreting and/or generalizing the results obtained from the study. The paper is partially based on previous findings of a literature review. Furthermore, the strategy considered in this study is a competitive one and the strategic processes are chosen according to this strategy which can be changeable. In interpreting the result, these limitations should be kept in mind.

Defining the strategic processes for ICs helps them to allocate their resources to the processes which directly contribute to the company's strategic goal. This paper builds a portfolio of ICs' processes highly related to organization strategic goals. Therefore, these processes are the appropriate candidate in BPR project investment.

In the backdrop of emerging market setting of India, this study aims to attempt to identify how Institutional investors use sell side analyst outputs for their decision-making processes in light of inherent biases in their forecasts and recommendations. The study also conceptualizes the role of internal buy side teams in the process and try to figure out the key attributes and services provided by sell side analysts, which provide maximum value to the investors.

The study is centered upon in-depth semi-structured interviews of ten institutional investors from top Indian asset management companies covering a wide range of topics tied back to theoretical explanations. The data collected was transcribed, coded and analyzed using content analysis to ensure a systematic synthesis of point of view.

The findings show that internal analyst teams of institutional investors play a dominant role in terms of validation of sell side analysts’ outputs (given the inherent biases in sell side analyst forecasts). Further, the engagement of sell side analysts by the investors are determined not only through profitable recommendations but also on the basis of soundness of the investment rationale along with other services provided. Finally, this study puts into perspective, the critical role of analyst industry knowledge and access to company management (as opposed to analyst pedigree and forecast accuracy) for institutional investors decision-making.

The findings of the paper have profound implications for various stakeholders such as companies, sell side analysts, policy makers, researchers and students of finance in terms of detailed understanding of investment processes of institutional investors in the context of emerging markets like India, which have a different legal and regulatory set-up compared to developed markets. The authors also provide a critical perspective through an intriguing paradox that exists between finance theory and its relevance for actual practitioners.

To the best of the authors’ knowledge, this is the first study in India which look inside the “black box” of institutional investors and their decision-making process, especially with respect to how they use sell side outputs.

The aim is to address the approach and identify the assessment of the effectiveness of IT investment used by organisations, to develop a thesis of good practice in this area; and to test this thesis by reference to a focus group consisting of practitioners.The research began using the case study method to collect evidence and then content analysis was employed to analyse this evidence to identify empirical generalisations and thus develop a theory of IT investment, IT investment evaluation and IT benefit identification. Correspondence analysis was used on the case study data as one step in establishing the theory. A focus group was used to present the relevant theory and the models that were created. Finally, the practical management guidelines suggested by the research and the models and content analysis figures were presented to practitioners as a cross‐validation process and the results reported. The results of this research are an objectively developed theory of how IT investments are formulated and evaluated and how IT investment benefits are identified.

The popular business press, government regulators, environmentalists and the public are calling on operations managers to shift away from their traditional emphasis on pollution control toward pollution prevention when improving environmental performance. Yet, any managerial decision about the level and form of investment in these environmental technologies cannot be made in isolation, but instead must be implemented within the context of other manufacturing investments in process technologies and organizational systems. A survey of two Canadian industries – small machine tools and non‐fashion textiles – revealed evidence that environmental technologies have been regarded as ancillary investments; as investment in manufacturing increased, so did the proportion of that investment directed toward environmental technologies. Further, increased investment in advanced process technologies actually shifted investment away from pollution prevention. In contrast, increased investment in quality‐related organizational systems favored concurrent investment in recycling programs, along with pollution prevention and management systems. Thus, increased investment in quality management offered an important route to expand the implementation of pollution prevention.