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Completing Right-of-Way (ROW) acquisition process on schedule is critical to avoid delays and cost overruns on transportation projects. However, transportation agencies face challenges in accurately forecasting ROW acquisition timelines in the early stage of projects due to complex nature of acquisition process and limited design information. There is a need of improving accuracy of estimating ROW acquisition duration during the early phase of project development and quantitatively identifying risk factors affecting the duration.

The quantitative research methodology used to develop the forecasting model includes an ensemble algorithm based on decision tree and adaptive boosting techniques. A dataset of Georgia Department of Transportation projects held from 2010 to 2019 is utilized to demonstrate building the forecasting model. Furthermore, sensitivity analysis is performed to identify critical drivers of ROW acquisition durations.

The forecasting model developed in this research achieves a high accuracy to predict ROW durations by explaining 74% of the variance in ROW acquisition durations using project features, which is outperforming single regression tree, multiple linear regression and support vector machine. Moreover, number of parcels, average cost estimation per parcel, length of projects, number of condemnations, number of relocations and type of work are found to be influential factors as drivers of ROW acquisition duration.

This research contributes to the state of knowledge in estimating ROW acquisition timeline through (1) developing a novel machine learning model to accurately estimate ROW acquisition timelines, and (2) identifying drivers (i.e. risk factors) of ROW acquisition durations. The findings of this research will provide transportation agencies with insights on how to improve practices in scheduling ROW acquisition process.

In order to understand the totality, diversity and richness of human information behavior, increasing research attention has been paid to examining serendipity in the context of information acquisition. However, several issues have arisen as this research subfield has tried to find its feet; we have used different, inconsistent terminology to define this phenomenon (e.g. information encountering, accidental information discovery, incidental information acquisition), the scope of the phenomenon has not been clearly defined and its nature was not fully understood or fleshed-out.

In this paper, information encountering (IE) was proposed as the preferred term for serendipity in the context of information acquisition.

A reconceptualized definition and scope of IE was presented, a temporal model of IE and a refined model of IE that integrates the IE process with contextual factors and extends previous models of IE to include additional information acquisition activities pre- and postencounter.

By providing a more precise definition, clearer scope and richer theoretical description of the nature of IE, there was hope to make the phenomenon of serendipity in the context of information acquisition more accessible, encouraging future research consistency and thereby promoting deeper, more unified theoretical development.

For decades, cost growth in major military weapon system programs has been problematic. The result is a multitude of studies documenting internally focused causes of Department of Defense (DoD) acquisition cost growth and a spawning of acquisition reforms that have provided little relief to the problem. The missing components of these prior analyses are the larger economic and political factors that contribute to cost growth. This study analyzes cost growth in major DoD development and procurement contracts through a holistic political-economy construct including the effect of the political party of the President and Congress, and the liberal-conservative record of the Armed Services Committees. These political-economy constructs in both development contracts and procurement contracts are found to be more robust.

Contingency models have enabled researchers to develop system‐based decision‐making approaches to organizational studies. Two contingency decision‐making models ‐ rational and political choice ‐ have been applied to identify those organizational characteristics and strategic leadership qualities associated with acquisitive growth through “absorption” and “diversification”. A study of the International Telephone and Telegraph Company (ITT) organizational growth strategies from 1920 to 1997 reveals that senior managers adopt the rational decision‐making model when organizational growth through acquisition involves absorption, and the political model when organizational growth calls for diversification. A contingency historical study of ITT demonstrates two important periods in ITT’s organizational life cycles ‐ one of growth (1920‐early 1970s) and one of consolidation/stability (from mid‐1970 to the present time). Contingency models indicate that differences in organizational growth strategies arise due to differences in environmental factors characterizing each period as organizations pass through several stages of growth in their life cycles.

We analyze how entry order in a new field influences the stock market reaction to strategic alliances and acquisitions aimed at expanding firm boundaries. We argue that alliances would be more valued by investors at the early stages of a process of convergence between two markets, whereas acquisitions would be more valued in the later stages. Using a sample of alliances and acquisitions carried out by European telecom firms, our hypotheses have been confirmed.

The purpose of this paper is to investigate the cause–effect relationship between vocational support and the levels of acquisition of practical skills via learning self-efficacy during a training intervention in computer maintenance technology among vocational electronic technology students.

Quasi-experimental research was employed. The participants were 84 undergraduates of vocational electronic technology education in Nigeria. The study applied the modified stages of the Dreyfus model of skills acquisition as the training model. The study proposed a four-simple mediation models based on the first four stages of the modified Dreyfus model of skills acquisition (namely, novice, advanced beginner, competent and proficient stages) via practical skills learning self-efficacy.

The result showed significant effects of perceived vocational support in practical skills training on the levels of acquisition of practical skills in computer maintenance technology. Learning self-efficacy mediated the relationship between perceived vocational support and three levels of practical skills acquisition (advanced beginner, competent and proficient).

All possible mediation pathways were not covered in this study. However, the study x-rayed the tendency of pathways in training intervention in vocational education and allied fields of study.

This study has empirically provided evidence to support the Dreyfus model of skills acquisition, as a plausible practical skills training model. Hence, the study can serve as a model for other researchers for replication in other fields of study.

To the authors’ knowledge, this is the first study that revealed potential pathways in work-related practical skills training interventions. The study has also validated the Dreyfus model as a potential skill acquisition model for practical skills training.

While existing literature extensively explores manufacturing firms expanding into services, little is known about the modes of servitisation, the means by which they carry it out. This paper concentrates on acquisitions as a mode of servitisation. Post-acquisition integration is when the potential of an acquisition is realised. The paper therefore aims to categorise types of integrations following the acquisition of servitised firms and discusses their consequences for servitisation.

The empirical part of the paper is based on two case studies, each involving the acquisition of servitised firms. Both acquirers changed their integration approach over time.

The paper conceptualises three types of integrations: rhetorical, insulated and transformative integrations, indicating whether and how the acquirer becomes servitised following the integration. These highlight the analysis of integration based on business models and customer orientation in relation to servitisation.

This paper contributes to research on servitisation by emphasising acquisitions as a mode of servitisation and conceptualising three integration types related to business models and customer orientations. Furthermore, the paper highlights how an acquirer's servitisation leads to new offerings targeting new customers, as opposed to strengthening existing relationships.

The purpose of this paper is to identify and design a paradigm model for universities' information acquisition behavior in competitive intelligence process.

The sampling has been conducted in two stages. First, purposive sampling has been done among Iranian universities of medical sciences. Second, 20 university staff members were selected using the snowball method. The research was conducted through semi-structured interviews.

The purpose of acquiring information in competitive intelligence process is to meet organizational and individual information needs in active and passive ways. The characteristics of information acquisition and how to acquire it are varied. Enablers include the information sources, individual, organizational characteristics and environmental pressures. Barriers are individual, organizational, environmental factors. The consequences of information acquisition are success, failure and partial success. Accordingly, a paradigm model of information behavior has been designed.

This is the first study to identify information behavior of universities in competitive intelligence process. In addition to why and how to acquire information, this study also looks at facilitators and barriers factors.

The purpose of this paper is to understand the decision process of enterprise software acquisition. The research aims to focus on identifying significant influences on enterprise software acquisition decisions.

As a research model and theoretical background, the organizational buying model (OBB) is proposed for the acquisition of enterprise systems. Influences on enterprise software acquisition decision processes were found by an empirical study carried out from a practitioner's perspective. The study collected data via a mail survey administered to information systems (IS) professionals involved in the acquisition of enterprise software (ES). The survey questionnaire was developed based on a previous research project and a literature review. Organizational buying behavior (OBB) models in the literature served as the basis for the influences included in the survey instrument. Factor analysis was carried out on the survey data to identify the most significant factors/influences.

The following five factors emerged as significant influences on the acquisition decision process of enterprise software: ES strategy and performance; BPR and adaptability; management commitment and user buy‐in; single vendor integrated solution; and consultants, team‐location, and vendor's financing. These factors are discussed and managerial implications are extracted. Conclusions are derived from the study findings and guidelines for further research are suggested.

The present study provides a starting point for further research in understanding a more comprehensive list of influences on enterprise software acquisition. A bigger sample from more industries is required to examine whether the significance of the influences remains stable.

Using OBB models has proven to be useful for organizations in making effective decisions on enterprise software acquisition.