Strategic Flexibility in New High‐Technology Ventures

Strategic flexibility is a vital capability for new ventures to update their strategies in a timely manner. However, the role of external knowledge sources in new ventures’ endeavours to develop strategic flexibility are unclear. Drawing on the knowledge‐based and relational views, we explore the effect of two sources of external knowledge: new product development (NPD) alliances, representing tightly coupled sources, and loosely coupled sources such as industry associations. Our field study of 148 high‐tech ventures found that the extent to which firms utilize knowledge from NPD alliances has a curvilinear relationship with strategic flexibility, whereas the extent to which firms utilize loosely coupled sources has a positive linear relationship with strategic flexibility. We also found that in new ventures, decentralization of decision‐making and institutional support enhance knowledge integration, positively moderating these relationships.     

An explorative study of corporate travellers’ perception at a German airport

The modern working environment is changing at a fast pace due to factors such as globalisation, digitalisation, and demographic trends. Taking an exploratory approach, this study examines how prevailing factors shaping the working world may influence the perception of business air travellers. Relevant factors are identified through a literature review, which results are confirmed by expert interviews (N = 11). Business travellers are surveyed (N = 67) at Munich Airport regarding their personal experiences and their evaluations of these identified factors. Their perceptions concerning the psychological and physical experience, digitalisation, age, and gender are examined in detail.Findings provide insights into the development of business air travel, with a focus on German business travellers. Despite the influence of advanced information and communications technology, survey results reveal that air travel might stay an essential part of the working world, as face-to-face meetings are not fully replaceable. Increasing multi-partner project work and flexible work structures could even lead into an increase of air travel. The study also delineates recommendations and research potential, such as the extension of the study in the light of the global COVID-19 pandemic. The question of how trends within the working world influence the perception of business related air travel is rarely studied. This study contributes to this gap in the scientific community.     

In Data We Trust? An Analysis of Indonesian Socioeconomic Survey Data

What if a popular dataset that has generated a large amount of literature has been misunderstood and has led to misleading inferences? This paper examines household expenditure data from the Indonesian National Socio-economic Survey (Susenas), which started more than 50 years ago. Appropriate use of Susenas data for policy analysis requires an understanding that the survey’s expenditure variable does not measure true out-of-pocket expenses, because it includes subsidies received by households when obtaining goods and services. We also highlight an abrupt change in the survey instrument that occurred in 2015, when the reference period for certain items was extended. For health items, this generated a change in the expenditure series that can be misinterpreted as being the result of a social health insurance reform introduced in 2014 to lower the health care burden on households. Accordingly, we propose a way to account for this artificial expenditure movement in Susenas.     

Employer-provided training,innovation and skills in post-Soviet countries

This paper analyzes the extent of employer-provided training in Armenia, Azerbaijan, Georgia and Ukraine and investigates its relationship with innovation, having international business contacts, use of computers at work, reported skills shortages and other firm characteristics. It contributes to the literature by examining different types of training – initial on-the-job learning, more formal in-house training and external training, which is provided by firms to two categories of workers – white- and blue-collar workers. After controlling for a range of firm characteristics, we find a positive link between technological innovation and intensity of training of all types provided to white-collar workers that points to the technology-skills complementarity. Furthermore, the level of computer use at work is a significant determinant of the incidence and intensity of external training provided to white-collar and blue-collar workers.     

Comparative performances of measures of consumer and economic sentiment in forecasting consumption: a multi-country analysis

ABSTRACT

This paper seeks to compare the capabilities of assorted measures of consumer and economic sentiment in predicting the growth of household expenditure. An analysis of quarterly data on five European countries shows that for none of these can the model which incorporates the EU’s headline consumer confidence indicator be deemed to be significantly inferior to any of its seven rivals. However, the rankings of the sentiment variables are seen to be influenced by: the proportion of total spending by households that is devoted to durable goods; and the nature of the behaviour of consumption over the forecast interval.     

A Different Perspective on the Evolution of UK Income Inequality

This paper scrutinizes the conventional wisdom about trends in UK income inequality and also places contemporary inequality in a much longer historical perspective. We combine household survey and income tax data to provide better coverage of all income ranges from the bottom to the very top (and make our estimates available to other researchers). We make a case for studying distributions of income between tax units (i.e. not assuming the full income sharing that goes with the use of the household as the unit of analysis) for reasons of principle as well as data harmonization. We present evidence that income inequality in the UK is as least as high today as it was just before the start of World War 2.     

Economic forecasting with evolved confidence indicators

We present a machine-learning method for sentiment indicators construction that allows an automated variable selection procedure. By means of genetic programming, we generate country-specific business and consumer confidence indicators for thirteen European economies. The algorithm finds non-linear combinations of qualitative survey expectations that yield estimates of the expected rate of economic growth. Firms’ production expectations and consumers’ expectations to spend on home improvements are the most frequently selected variables – both lagged and contemporaneous. To assess the performance of the proposed approach, we have designed an out-of-sample iterative predictive experiment. We found that forecasts generated with the evolved indicators outperform those obtained with time series models. These results show the potential of the methodology as a predictive tool. Furthermore, the proposed indicators are easy to implement and help to monitor the evolution of the economy, both from demand and supply sides.     

New urban planning challenges under emerging autonomous mobility: evaluating backcasting scenarios and policies through an expert survey

The future implementation of Autonomous Vehicles (AVs) in cities can have significant impacts, both positive and negative, on their sustainability. The objective of this research is to investigate those impacts and evaluate which policies could be most effective in achieving the desired city scenario through a backcasting planning methodology. To this end, a survey among experts was carried out in which they expressed their opinions on the potential consequences of AVs in cities and on the effectiveness of various policy packages focused on achieving a more sustainable mobility and land use planning. The results obtained show that the experts consulted were sceptical about the positive impacts of AVs, arguing that they could induce an increase in car trips and urban sprawl. The policies that could be most effective in mitigating these effects, leading to a city more aligned with the planned objectives would be: to strengthen active (foot, bicycle) and public transport modes, to restrict access of motorised modes to central urban areas and to use freed spaces for alternative modes of transport, green areas and public facilities. A cluster analysis also showed that most of the experts consulted considered that the policy packages presented could be effective or very effective in reaching the most desirable scenario. Therefore, it is important that the implementation of AVs does not subordinate to, but enhances, the sustainable mobility and land use policies already being developed in many urban areas.     

Political budget cycles revisited: Testing the signalling process

A widespread view in the ‘political budget cycles’ literature is that incumbent politicians seek to influence voters’ perceptions of their competence and/or preferences by using the composition of the fiscal budget as a signalling tool. However, little is known about whether voters actually receive and perceive the signal in that way. To empirically assess the relevance of the signalling channel at the municipal level, we conducted a survey among 2000 representative German citizens in 2018. Only a small fraction of voters feel well-informed about the fiscal budget signal and use the information it contains to decide whether to vote for the incumbent politician. Persons paying more attention to the signal sent by local politicians live in smaller municipalities, are more satisfied with their economic situation, are more educated, and do not feel that they are being electorally manipulated. Our analysis raises doubt about the relevance of budget composition as a signalling mechanism for voters at the local level.     

How household food shopping behaviors changed during COVID-19 lockdown period: Evidence from Beijing,China

The COVID-19 pandemic has had a great impact on food shopping behavior. However, changes in food shopping behavior and related decision-making mechanisms remain unexplored. This study conducted a face-to-face questionnaire survey with 900 residents in three communities in Haidian, Beijing, China, to analyze food shopping behavior during the periods of pre-lockdown, lockdown (January–March 2020), and post-lockdown. Our results indicated that the preference for fresh food e-commerce shopping was accelerated by the lockdown with the usage rate increasing by 48%; the wet markets were seriously hit by the lockdown policy and had not fully recovered by the post-lockdown period (with a 75% reduction in the usage rate during lockdown). The psychological mechanisms of changes in food shopping behavior revealed that the context (e.g., community facilities) and the perceived risk of COVID-19 were two significant factors impacting the four shopping choices investigated. Specifically, the context factors affected behavior directly for supermarkets and convenience stores and indirectly for e-commerce and wet markets. The findings are expected to help in guiding emergency responses during a future pandemic as well as the long-term construction of food supply facilities.