Search results

This study aims to explore and empirically test variables influencing material delivery schedule inaccuracies?

A mixed-method case approach is applied. Explanatory variables are identified from the literature and explored in a qualitative analysis at an automotive original equipment manufacturer. Using logistic regression and random forest classification models, quantitative data (historical schedule transactions and internal data) enables the testing of the predictive difference of variables under various planning horizons and inaccuracy levels.

The effects on delivery schedule inaccuracies are contingent on a decoupling point, and a variable may have a combined amplifying (complexity generating) and stabilizing (complexity absorbing) moderating effect. Product complexity variables are significant regardless of the time horizon, and the item’s order life cycle is a significant variable with predictive differences that vary. Decoupling management is identified as a mechanism for generating complexity absorption capabilities contributing to delivery schedule accuracy.

The findings provide guidelines for exploring and finding patterns in specific variables to improve material delivery schedule inaccuracies and input into predictive forecasting models.

The findings contribute to explaining material delivery schedule variations, identifying potential root causes and moderators, empirically testing and validating effects and conceptualizing features that cause and moderate inaccuracies in relation to decoupling management and complexity theory literature?

Perceived as an antidote to poor execution, interest in radio frequency identification (RFID)-enabled visibility has grown. The purpose of this paper is to examine whether and how RFID-enabled visibility with item-level tagging improves store execution.

The authors conducted three field-based experiments in collaboration with two Fortune 500 retailers.

RFID-enabled visibility resulted in a sizable decrease in inventory record inaccuracy and out-of-stocks for inventory held in both the backroom and on the sales floor. The decrease in inventory record inaccuracy and out-of-stocks was even greater among products stored primarily on the sales floor suggesting the benefits from increased visibility accrue to sales floor inventory management processes. In contrast, the authors found no significant improvement in inventory record inaccuracy and no substantive improvement in out-of-stocks among products stored primarily in the backroom suggesting that increased visibility does not improve backroom management processes.

The authors recommend retailers focus on sales floor inventory management when seeking to improve store execution through the adoption of RFID-enabled visibility. In the context, only partial evidence exists that backroom inventory management improves with RFID-enabled visibility.

Retailers seeking to invest in RFID technology must estimate potential performance improvements before making firm-specific cost-benefit analyses. They must also understand where and how these performance improvements will accrue. This research uniquely presents the results of a three field experiments that quantify the changes in retail execution associated with RFID adoption.

From the perspective of plant and machinery valuation, this paper aims to assess the factors that constrain accuracy in plant and machinery valuation in the Nigerian context.

This paper is based on the technical, economic and market infrastructure affecting machinery and equipment valuation in Nigeria and surveyed 150 practicing firms in Lagos to elicit from them what they believe are the major constraints to valuation accuracy.

The findings reveal that, due to lack of specialization in machinery and equipment valuation, very few valuers have sufficient knowledge content to engage in the exercise. Four significant factors are established to be contributing most to valuation inaccuracy.

This study is the first on inaccuracy in machinery and equipment valuation, and consequently highlights the need to equip Nigerian valuers to face the challenges of the expertise required in this specialized area of valuation.

Information distortion results in demand variance amplification in upstream supply chain members, known as the bullwhip effect, and inventory inaccuracy in the inventory records. As inventory inaccuracy contributes to the bullwhip effect, the purpose of this paper is to investigate the impact of inventory inaccuracy on the bullwhip effect in radio-frequency identification (RFID)-enabled supply chains and, in this context, to evaluate supply chain performance because of the RFID technology.

A simulation modeling method based on hierarchical timed colored petri nets is presented to model inventory management in multi-stage serial supply chains subject to inventory inaccuracy for various traditional and information sharing configurations in the presence and absence of RFID. Validation of the method is done by comparing results obtained for the bullwhip effect with published literature results.

The bullwhip effect is increased in RFID-enabled multi-stage serial supply chains subject to inventory inaccuracy. The information sharing supply chain is more sensitive to the impact of inventory inaccuracy.

Information sharing involves collaboration in market demand and inventory inaccuracy, whereas RFID is implemented by all echelons. To obtain the full benefits of RFID adoption and collaboration, different collaboration strategies should be investigated.

Colored petri nets simulation modeling of the inventory management process is a novel approach to study supply chain dynamics. In the context of inventory errors, information on RFID impact on the dynamic behavior of multi-stage serial supply chains is provided.

The causes of valuation inaccuracy, the approaches, basis and procedures used for value estimation were not profoundly identified in Ethiopia. Particularly, the causes of property valuation inaccuracy for court decisions have not been assiduously studied by scholars. Hence, the ultimate goal of this study aims to identify the determinant variables of valuation inaccuracy, the approaches, basis and procedures used for court execution purposes.

This study employed both qualitative and quantitative approaches. The target populations of the study were the courts at the federal and regional levels. A purposive sampling technique was employed to undertake this study. The survey data was analyzed using the Relative Importance Index (RII).

The finding of this research revealed that courts have not outshined and uniform valuation manuals and guidelines that clearly state the approaches, procedures and bases of valuation. As a consequence, courts execute based on the opinion of value determined by other institutions. The insignificant numbers of independent valuation institution with the lack of uniform standards in the country prejudice the implementation of the decision of the court and faced injustice. The finding also reveals as there are several causative variables for real property valuation inaccuracy.

To alleviate the problem, the government should strengthen the valuation sector by creating an independent institution for advancing valuation regulation and policymaking.

This study was the first of all and could be a pointer for different government and non-government bodies regarding the limitations of valuation for judgment execution purposes.

This study updates and extends the current work on the issue of accuracy of property valuation. The paper investigates the factors that contribute to property valuation inaccuracy and examines different strategies to achieve greater accuracy in practice.

An online questionnaire was designed and administered on the Australian Property Institute (API) registered valuers, attempting to examine their perceptions on the current state of valuation accuracy in Australia. The variables/statements from responses are ranked overall and compared for differences by the characteristics of respondents.

Using mean rating point, the survey ranked three factors; inexperience valuers, the selection, interpretation and use of comparable evidence in property valuation exercise and the complexity of the subject property in terms of design, age, material specification and state of repairs as the most significant factors currently affecting valuation inaccuracy. The results of a Chi-square test did not, however, show a significant statistical relationship between respondents' profile and the perception on the comparative importance of the factors identified. Except for valuers' age and inexperience valuers and valuers' educational qualification and inexperience valuers and the selection, interpretation and use of comparable evidence in property valuation exercise. Also, the three highly ranked strategies for reducing the level of inaccuracy are: developing a global mindset, use of advanced methodology and training valuers on market forecasting skills.

In order for valuers to provide state-of-the-art service to the public and to remain relevant, there is a need to accurately and reliably estimate valuation figures. Hence, the strategies highlighted in this study could be considered in a bid to reduce property valuation inaccuracy in practice.

This study provides an updated overview of the issue of property valuation inaccuracy in the Australia valuation practice and examines the strategies to reduce it.

In a previous paper the minimum inaccuracy principle was suggested as an operative method for estimating population parameters when the available experimental information could not be perceived as an exact outcome, but rather as fuzzy information. This principle is an extension of the maximum likelihood principle of estimating from exact experimental data. In this paper, the particularization of the first method to the case in which each fuzzy information reduces to a class of extact observations is developed. We then analyze certain correspondence between the maximum likelihood and minimum inaccuracy principles in estimating parameters after grouping data. In addition, we prove that the second method approximates to the first one when a certain natural grouping, or choice of classes, is accomplished. Finally, in order to illustrate the preceding results, some relevant particular cases are examined.

To address the phenomenon of inaccuracy in real estate valuation successfully, it is imperative to ascertain the sources and how valuers are influenced. The purpose of this paper therefore is to identify and assess both the predictive and relative importance of the factors that significantly influence inaccuracy in residential property valuations in Lagos metropolis.

Data obtained from 250 firms of Estate Surveyors and Valuers were analyzed by a combination of descriptive and inferential statistics including factor analysis, and correlation/regression analysis.

The study identified: valuers' knowledge and experience; valuers' approach to valuation; and individual characteristics of valuers and valuation firms, in that order, as having significant influence on valuation accuracy in the study area.

If valuers know the factors that significantly influence inaccuracy and understand how they are affected, it would be possible to reduce the incidence of inaccuracy, together with its potential grave consequences to the housing market in particular, and the economy as a whole.

Organizations desire more accurate cost systems as competition increases, and consequently increase cost system complexity, as cost systems with greater complexity are potentially more accurate than simpler systems. However, even complex systems are prone to impactful inaccuracies, for example, due to design or calculation issues, that can adversely affect decision-making and firm performance. The authors investigate whether and the extent to which cost system complexity and competition decrease managers’ attribution of cost-system-driven adverse firm effects to the cost system. The authors find greater cost system complexity (by inspiring greater confidence in the cost system) and higher competition (by providing a plausible external cause) decrease managers’ attribution of cost-system-driven adverse firm effects to the cost system. With both greater cost system complexity and higher competition, managers observing signals of material cost inaccuracies are potentially the least likely to attribute cost-system-driven adverse firm effects to the cost system.

In the absence of continuously traded, deep and securitised markets, commercial property valuations perform a vital function in the property market by acting as a surrogate for transaction prices. The ability of valuers to make effective estimation of value is therefore a vital issue in commercial property market. The purpose of this paper is to examine the effects of valuation variance and inaccuracy on Nigerian commercial property market.

Questionnaires were used in collecting data from 163 randomly selected estate surveying and valuation firms in Lagos Metropolis with a record of over 60 per cent of the total population of estate surveying and valuation firms in Nigeria. Both descriptive and inferential statistics were used to analyse the data collected.

The results revealed that valuation variance and inaccuracy causes fluctuation in the price of property, sending wrong signal to the market participants and jeopardising the future of commercial property market. It also, exposed valuers to negligence liability, loss of valuers’ credibility and reduction of valuers’ integrity.

The paper concluded that quality data bank system is needed to obtain accurate comparables which are the cornerstone of market valuation. Also, surveyors in the academia should revisit the techniques they have developed with a view to replacing or modifying them into a format that are easy to use by practitioners. The findings of the study will be of importance to estate surveyors and valuers, estate surveying and valuation firms, government agencies in charge of property taxes as well as investors in commercial properties.

The paper is one of the few attempts at examining valuation variance and accuracy in Nigeria. This paper examined the effect of valuation variance and accuracy on Nigerian commercial property market.