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State-owned firms play important roles in Chinese cross-border acquisition (CBA) activities. However, compared with private firms, state-owned firms have a lower likelihood of acquisition completion and take longer to complete a deal. This paper aims to determine why this phenomenon exists and how state-owned firms can overcome the constraints of their identity.

By integrating organizational learning theory with institutional theory, this paper attempts to answer the research questions from a legitimacy perspective. Employing Chinese CBA data from 1982 to 2014, the authors use a logit model and a random effects model to test the hypothesis.

The results show that a state-owned identity easily causes legitimacy concerns among host country regulatory agencies; thus, it may result in longer and more uncertain evaluation behaviors, which lead to a lower likelihood of CBA completion and a longer deal duration. Only experience with failed acquisitions can increase CBA completion probability. Furthermore, in very complex decision-making environments, such as that surrounding deal duration, only specific types of experience (i.e. experience of failed international acquisitions) can trigger learning behavior, whereas general experience (i.e. failed acquisition experience) has little influence. Favorable bilateral relationships may not improve the completion rate and efficiency of state-owned firms, but high-quality host country institutions lead to a higher likelihood of CBA completion among state-owned firms; however, this may be not conducive to decreasing the time needed to complete an acquisition deal.

First, by discussing the completion rate and duration of CBAs conducted by state-owned firms and analyzing the factors that influence them, this paper enriches and develops the theory of organizational overseas mergers and acquisitions (M&As). Second, by adopting a legitimacy perspective and integrating institutional theory, the authors theorize how state-owned status influences firms’ M&A completion rate and time and test the hypotheses empirically; thus, this paper improves and deepens institutional theory. Third, by discussing how different types of experience (i.e. successful experience vs failed acquisition experience) influence the acquisition completion rate and duration and how general experience and specific types of experience affect these two dependent variables differently, this paper explains how state-owned firms can learn effectively from experience, contributing to organizational learning theory.

The purpose of this study is to identify the learner characteristics attributable to the likelihood and the duration of programme completion in the Bachelor of Science (BSc) and Bachelor of Technology Honours in Engineering (BTech) degree programmes of the Open University of Sri Lanka (OUSL).

Data were gathered from the re-registrants for the degree programmes in the academic year 2020/2021, using a questionnaire developed as a Google form. The sample consisted of 301 and 516 re-registrants from the BTech and BSc programmes respectively. Influential factors were identified using Kruskal Wallis test (for duration of completion), binary logistic regression (for likelihood of completion) and Chi-squared test (associations between presage and process factors).

Entry qualification, age and time management skills at entry had significant effects on duration of completion. Attendance at academic activities, organizing time for self-studies and the competency in English at enrolment had significant effects on the likelihood of completion. Prior open and distance learning (ODL) experience had no significant effect on any of the product factors considered.

Inaccessibility of dropouts and using only the responses from the first administration of the questionnaire are limitations. Active learners are more likely to respond, in the first administration and may bias the results.

Findings are useful for designing future studies to identify at-risk students and thereby enhance the programme completion and reduce prolonged time for completion.

Effective strategies to control the identified factors will uplift programme completion and reduce drop-out rates.

Decision making using inferential techniques makes the study distinct among studies undertaken on the same population. The study enriches the limited current research on factors affecting programme completion in ODL mode.

The purpose of this paper is to provide new insights into asset liquidity in direct commercial real estate investment in the UK. Transaction data provided by four institutional investors of commercial real estate are used to test for changes in asset liquidity as manifest in recorded times from price agreement to deal completion. Median times to completion by stage of the transaction are presented alongside industry estimates.

Stages of the transaction process are modelled and median times per stage calculated to track changes in asset liquidity over, and between, the two periods of the study (2000‐2002 and 2005‐2008). Real times to completion are considered in conjunction with estimated times compiled through interviews with senior level investment professionals. This paper applies the Wilcoxon rank‐sum test to determine the significance of variation in median times across the two study periods.

This paper provides empirical evidence that liquidity increased from 2000 to 2008. Median times from price agreement to completion decreased significantly (p=0.015) from 2000‐2002 to 2005‐2008, indicating an increase in asset liquidity in step with an overall increase in transaction volume. Furthermore, senior investment actors were found to persistently over‐estimate transaction efficiency and underestimate liquidity risk when acquiring and disposing of commercial properties.

This work offers new insights into the changing nature of asset liquidity over the last decade based on a limited number of transactions. Additional studies involving larger samples of transactions would provide still greater insight into commercial real estate liquidity dimensions.

The paper presents evidence of pro‐cyclicality; asset liquidity varies positively with overall transaction volumes, and investment actors were found to overestimate asset liquidity suggesting a persistent underestimation of liquidity risk.

This paper addresses a gap in the extant literature offering real time on market‐time to completion observations alongside investor estimates. Median times to completion have been modelled and presented, together with time estimates provided by industry experts. Also, for first time in real estate research, median times to completion are shown to shorten significantly in‐line with increasing transaction volumes.

The current study aims to propose a new analytical approach by considering energy consumption (EC), maximum tardiness and completion time as the primary objective functions to assess the performance of parallel, non-bottleneck and multitasking machines operating in dynamic job shops.

An analytical and iterative method is presented to optimize a novel dynamic job shop under technical constraints. The machine’s performance is analyzed by considering the setup energy. An optimization model from initial processing until scheduling and planning is proposed, and data sets consisting of design parameters are fed into the model.

Significant variations of EC and tardiness are observed. The minimum EC was calculated to be 141.5 hp.s when the defined decision variables were constantly increasing. Analysis of the optimum completion time has shown that among all studied methods, first come first served (FCFS), earliest due date (EDD) and shortest processing time (SPT) have resulted in the least completion time with a value of 20 s.

Considerable amount of energy can be dissipated when parallel, non-bottleneck and multitasking machines operate in lower-power modes. Additionally, in a dynamic job shop, adjusting the trend and arrangement of decision variables plays a crucial role in enhancing the system’s reliability. Such issues have never caught the attention of scientists for addressing the aforementioned problems. Therefore, with these underlying goals, this paper presents a new approach for evaluating and optimizing the system’s performance, considering different objective functions and technical constraints.

This paper aims to show that information asymmetry plays a vital role in the post-M&A performance-time until deal completion nexus. The findings are that the due diligence hypothesis and the overdue hypothesis proposed and tested in Thompson and Kim (2020) are influenced by the information asymmetry of the target during the negotiation process. Thus, mergers that involve more opaque targets that take a shorter time to close perform better, whereas those that take too long to close experience poor post-M&A performance. Conversely, there is no such effect when the mergers involve targets that are transparent and not plagued with large information asymmetry problems. These results hold for the short-term supporting the evidence that information asymmetry problems are severe before the merger is consummated and become attenuated post-merger.

Low response rates in web surveys and the use of different devices in entering web survey responses are the two main challenges to response quality of web surveys. The purpose of this study is to compare the effects of using interviewers to recruit participants in computer-assisted self-administered interviews (CASI) vs computer-assisted personal interviews (CAPI) and smartphones vs computers on participation rate and web survey response quality.

Two field experiments using two similar media use studies on US college students were conducted to compare response quality in different survey modes and response devices.

Response quality of computer entry was better than smartphone entry in both studies for open-ended and closed-ended question formats. Device effect was only significant on overall completion rate when interviewers were present.

Survey researchers are given guidance how to conduct online surveys using different devices and choice of question format to maximize survey response quality. The benefits and limitations of using an interviewer to recruit participants and smartphones as web survey response devices are discussed.

It shows how computer-assisted self-interviews and smartphones can improve response quality and participation for underprivileged groups.

This is the first study to compare response quality in different question formats between CASI, e-mailed delivered online surveys and CAPI. It demonstrates the importance of human factor in creating sense of obligation to improve response quality.

Non-completion or slow completion of doctoral degrees has been a matter of concern to Australian Universities for many years, as government funding for research students is contingent upon on-time completion. Part-time students are of particular concern as it can be difficult for them to maintain motivation over several years. This chapter discusses the approaches adopted by one Australian university to address this problem in a professional doctorate part-time program.

Our program applies the concepts of Self-Determination Theory (Ryan & Deci, 2002), addressing social relatedness (addressed through students taking coursework subjects as a cohort), competence (students learn how to write a literature review, how to develop a conceptual framework, to design and justify a research design, to conduct and analyze quantitative, qualitative, and mixed methods research, and how to disseminate their research), and autonomy (students choosing a topic relevant to them and are encouraged to take their own decisions as they develop their competence).

Although student numbers are small, we believe that applying the concepts of Self-Determination Theory to our professional doctorate program has improved on-time completion rates.

Effective management of resources in a dynamic, multiproject environment requires consideration of two key issues: the availability of each of the multiple resources and the method of scheduling these resources to complete activities and, subsequently, projects. Identifies the trade‐offs between performance and the availability of multiple resources, when some resources are more costly than others. Finds that there are significant effects when the level of either the costly resources or the cheaper resources are varied, that trade‐offs can be made by reducing the availability of the costly resources and increasing the availability of the cheaper resources and that the improvement in completion time performance is reasonably linear over the tested ranges and the rates of improvement differ over the ranges. Describes the resource allocation factors and treatments as well as the scheduling heuristics. Uses a finite scheduling algorithm along with the prioritization heuristics to schedule the constrained multiple resources simultaneously and a simulation to replicate the environment. Develops linear regressions to provide further insight.

The purpose of this paper is to simultaneously investigate a variety of factors related to assignment completion (AC) (i.e. task orientation, cooperation, teacher feedback, time management and time spent on AC).

The study relied on a self-report survey to assess students' perceptions in relation to six variables. Participants included 1,106 undergraduate students from six public Thai universities. Analysis involved structural equation modeling.

This study provided new results related to task orientation as the strongest predictor of AC and time management. Cooperation and feedback improved AC with time management as an intervening variable. Time management and feedback did not predict time spent on AC.

Future studies might explore the potential range of assignments that, for example, count for a higher portion of the grade versus those that are less or unimportant in terms of the course. Future studies might also look at the role of group assignments in relation to completion. Semi-structured interviews or observations might provide insights into how students manage their time and why task orientation has the most effect on AC. Future research might investigate more specifically at what point time management does or does not affect completion. In general, given the growth of online learning and contexts in which students may be increasingly called on to complete assignments independently, factors such as those investigated in this study will require more attention in varying countries and contexts, generically and for individual subjects.

Instructional designers and instructors can promote task orientation through reliance on strategic scaffolding. For designing a task-oriented environment, instructors need to offer challenging assignments. Instructors should also assign work that encourages motivation, effort and achievement. To ensure that cooperative learning positively affects time management, instructors and designers can allot specific in-class time for completion of tasks, reliance on flipped classroom activities and student conversations regarding time restrictions and time-management skills. Instructors can be supported to help them provide appropriate types of feedback, as well as ideas for implementing the feedback in practice.

Little research has been conducted on AC in higher education. Those studies that have been conducted have focused on the elementary and secondary levels. Furthermore, studies have not always taken into account the complex relationships between different factors that can potentially influence AC.

According to the Federal Highway Administration (FHWA), and based on its professional judgment, it typically takes from 9 to 19 years to plan, gain approval for, and construct a new, major federally funded highway project that has significant environmental impacts. However, these projects constitute only 3 percent of all federally funded projects, according to FHWA. Officials in federal and state agencies and other knowledgeable organizations indicate that delivering larger, more complex or controversial projects may take longer to complete than is typical for most highway projects. In addition to needing more time because of their size and complexity, they often take longer to complete because they must comply with more federal and state requirements and because of the public interest that they may generate. Federal and state agencies have undertaken several initiatives to improve completion times for highway construction projects. Most of these initiatives address opportunities for reducing the time required to obtain environmental approvals.