Antecedents to Decision‐Making Quality and Agility in Innovation Portfolio Management

Innovation portfolio management (IPM) is a dynamic decision‐making process, in which projects are evaluated and selected, and resources are allocated. Previous research has developed an understanding of IPM success and its influencing factors. However, little research investigated the quality of the decision‐making process and the ability to quickly adapt the portfolio. This study focuses on the antecedents of decision‐making quality and agility (i.e., responsiveness to changes in the environment). Based on a decision‐making framework, five structural and cultural IPM components are derived as important antecedents of decision‐making quality, which in turn influences agility. The structural components (1) clarity of strategic goals, (2) formality of the IPM processes, and (3) controlling intensity serve a coordinating function. The cultural components (4) innovation climate and (5) risk climate serve a motivating function in IPM. An analysis of a sample of 179 firms and their innovation portfolios through structural equation modeling using a double‐informant design documents that these five components all positively influence portfolio decision‐making quality, which in turn positively influences agility. Results further show that environmental turbulence moderates some of these relationships. While the positive effect of process formality is weakened under increasing turbulence, the effects of controlling intensity and climate for innovation are strengthened by environmental turbulence. The findings have theoretical implications for the understanding of IPM as a dynamic capability and practical implications for the management of portfolios in turbulent environments.     

Two-stage DEA: <Emphasis Type="Italic">caveat emptor</Emphasis>

This paper examines the wide-spread practice where data envelopment analysis (DEA) efficiency estimates are regressed on some environmental variables in a second-stage analysis. In the literature, only two statistical models have been proposed in which second-stage regressions are well-defined and meaningful. In the model considered by Simar and Wilson (J Prod Anal 13:49–78, 2007), truncated regression provides consistent estimation in the second stage, where as in the model proposed by Banker and Natarajan (Oper Res 56: 48–58, 2008a), ordinary least squares (OLS) provides consistent estimation. This paper examines, compares, and contrasts the very different assumptions underlying these two models, and makes clear that second-stage OLS estimation is consistent only under very peculiar and unusual assumptions on the data-generating process that limit its applicability. In addition, we show that in either case, bootstrap methods provide the only feasible means for inference in the second stage. We also comment on ad hoc specifications of second-stage regression equations that ignore the part of the data-generating process that yields data used to obtain the initial DEA estimates.     

Exploring the structure and meaning of public service motivation in the Turkish public sector: a test of the mediating effects of job characteristics

Using a data set consisting of 315 middle-managers at the district level in the Turkish public sector, we develop a structural equation model (SEM) for assessing the impact of empowerment and stewardship on public service motivation (PSM) through job characteristics. The results demonstrate that stewardship and empowerment are distinct ‘levers’ that managers can use in novel ways to influence PSM; and cultural context may factor into the manipulation of these levers. We find that job-based mediators may not compliment leadership styles and self-generating rewards, but, rather work separately in their appeal to PSM.     

Subjective Performance Evaluations and Reciprocity in Principal–Agent Relations

We conduct a laboratory experiment with agents working on, and principals benefiting from, a real effort task in which the agents' performance can only be evaluated subjectively. Principals give subjective performance feedback to agents, and agents have an opportunity to sanction principals. In contrast to existing models of reciprocity, we find that agents tend to sanction whenever the feedback of principals is below their subjective self‐evaluations even if agents' pay‐offs are independent of it. In turn, principals provide more positive feedback (relative to their actual performance assessment of the agent) if this does not affect their pay‐off.     

From a System of National Accounts to a Process of National Wellbeing Accounting

There are repeated calls to go ‘Beyond GDP’, for measures of wellbeing and progress in addition to those that the System of National Accounts (SNA) is designed to provide. We identify key issues that can help build on the rigour of SNA whilst fitting the measurement of economic performance within a broader assessment of national wellbeing and progress. Such drivers are already leading to a proliferation of indicators and accounts, for example in the development of non‐monetary measures of natural resources, but there are significant measurement challenges, not least the question of whether a single, overall measure or index of wellbeing is valid. But the challenge of measurement, per se, is one thing: in our view, a more critical issue is whether the measures will actually be used. We propose a dynamic and multi‐staged approach for developing SNA, embracing the production and use of measures. This would start by identifying user requirements for wider measures, to provide the basis for national and cross‐national developments in well‐being accounting. We envisage greater branding and marketing of national well‐being concepts to promote measures and support their use. We call for outreach by producers, so that there is dialogue about the development and use of measures.     

Electrification of a city bus network—An optimization model for cost-effective placing of charging infrastructure and battery sizing of fast-charging electric bus systems

The deployment of battery-powered electric bus systems within the public transportation sector plays an important role in increasing energy efficiency and abating emissions. Rising attention is given to bus systems using fast charging technology. This concept requires a comprehensive infrastructure to equip bus routes with charging stations. The combination of charging infrastructure and bus batteries needs a reliable energy supply to maintain a stable bus operation even under demanding conditions. An efficient layout of the charging infrastructure and an appropriate dimensioning of battery capacity are crucial to minimize the total cost of ownership and to enable an energetically feasible bus operation. In this work, the central issue of jointly optimizing the charging infrastructure and battery capacity is described by a capacitated set covering problem. A mixed-integer linear optimization model is developed to determine the minimum number and location of required charging stations for a bus network as well as the adequate battery capacity for each bus line. The bus energy consumption for each route segment is determined based on individual route, bus type, traffic, and other information. Different scenarios are examined in order to assess the influence of charging power, climate, and changing operating conditions. The findings reveal significant differences in terms of required infrastructure. Moreover, the results highlight a trade-off between battery capacity and charging infrastructure under different operational and infrastructure conditions. This paper addresses upcoming challenges for transport authorities during the electrification process of the bus fleets and sharpens the focus on infrastructural issues related to the fast charging concept.     

The post‐application labour market consequences of employment tribunal claims

This article examines the post‐application employment consequences for individuals registering complaints to Employment Tribunals following dismissal or redundancy. We consider several pieces of evidence: (a) the probability of finding another job, (b) the time taken to get a new job and (c) the pay/status of the new job. Our results indicate that age plays a significant role in aspects (a) and (c), while those who previously held managerial positions generally took longest to get a new job and found it most difficult to achieve a similar level of pay/status in their current jobs. Long‐term health problems/disability is associated with significantly worse outcomes on all three measures. Respondents whose cases were dismissed by tribunals without hearings fared worst in terms of obtaining a new job and the time it took to do so. There are, however, fewer differences by tribunal outcome in the relative pay/status of the claimant's current job.     

CLASSIFYING MONETARY ECONOMICS: FIELDS AND METHODS FROM PAST TO FUTURE

Abstract We propose a simple, yet sufficiently encompassing, classification scheme of monetary economics. It comprises three fundamental fields and six recent areas that expand within and across these fields. The elements of our scheme are not found together and in their mutual relationships in earlier studies of the relevant literature; neither does this attempt aim to produce a relatively complete systematization. Our intention in taking stock is not finality or exhaustiveness. We rather suggest a viewpoint and a possible ordering of the accumulating knowledge. Our purpose is to promote discussion on the evolving nature and internal consistency of monetary economics at large.